6 Data Architecture jobs in Bahrain
Data Management Senior Specialist
Posted 8 days ago
Job Viewed
Job Description
Job Title : Data Management Senior Specialist
Work Mode : On-Site
Employment Type : Full-Time
Job Brief
One of our esteemed clients is seeking a Data Management Senior Specialist to oversee and maintain data management technologies that support operations and data quality. This role ensures seamless data integration, master data management, and data warehouse environments while maintaining agreed service levels.
Responsibilities
Administration Activities :
- Manage daily administration of data management technologies like SSIS, MDS, MDM, Kafka, Python, and Data Lake.
- Oversee data management application upgrades, infrastructure changes, and data migrations.
- Plan and execute installation, configuration, deployment, and integration activities.
- Maintain, patch, and upgrade data management applications.
- Monitor and ensure optimal performance of data management applications.
- Ensure adherence to SLAs, KPIs, ITIL processes, and compliance requirements.
- Build and maintain strong relationships with business teams and IT service providers.
- Document application functionalities, processes, and maintenance procedures.
ETL & Data Integration :
- Develop ETL/replication solutions using Microsoft SQL Server Integration Service (SSIS), Kafka, and PySpark.
- Support and maintain data integration pipelines for periodic and real-time data loads.
- Optimize data processing performance to support near real-time operations.
- Gather business requirements and implement data validation rules.
- Assist data warehouse end-users in understanding and querying data.
- Conduct data quality profiling using SSIS, Kafka, PySpark, and Information Quality Metrics.
- Implement data quality rules for standardization and cleansing.
- Generate data quality reports and support testing processes.
Qualifications
- Bachelor?s degree in Computer Science or related field.
- 7+ years of experience in data management and information systems.
- Strong knowledge of E&P processes, data management, and SQL Server 2019.
- Hands-on experience in SSIS administration, Data Warehouse, and Data Lake environments.
- Proficiency in Linux administration, SQL scripting, PySpark, and Kafka administration.
- Strong problem-solving and organizational skills.
Why Join Us?
- Work with cutting-edge data management technologies.
- Be part of a highly skilled and collaborative team.
- Opportunity to drive data-driven decision-making.
- Competitive salary, growth opportunities, and a great work environment.
If you?re passionate about data management and technology, we?d love to hear from you!
Application Instructions
If you possess the qualifications and are driven to excel in your field, we warmly invite you to apply by sharing your updated resume at or by applying directly through this platform.
Note: While we appreciate every application, only shortlisted candidates will be contacted. Your understanding is appreciated in this regard!
Data Management Services Business Partner, Gulf & DM Business Analyst - Cash Management Product Insurance Management B.A. - Duales Studium (w/m/d) #J-18808-LjbffrData Management Services Business Partner, Gulf & DM
Posted 8 days ago
Job Viewed
Job Description
Are You Ready to Make It Happen at Mondelēz International?
Join our Mission to Lead the Future of Snacking. Make It Matter.
Mondelēz International empowers people to snack right in over 150 countries worldwide. We're leading the future of snacking with iconic global and local brands such as Oreo, Cadbury, Philadelphia, Belvita, Ritz, and Toblerone.
Commencing a journey with Mondelez is much more than a new job; it’s a long-term career opportunity where your existing experience will be leveraged, further developed, and then rewarded by a strong focus on internal mobility. This is a rare opportunity to develop and grow your master data career in a global business with iconic brands and amazing growth opportunities!
You work with functions and business units to develop strategic roadmaps and to plan agreed-upon outcomes. In this role, you ensure that commitments are met and serve as the point of contact for Mondelēz International Business Services.
How you will contribute
You will offer your support on issues and challenges that arise in the processes used in the shared services team and with third-party suppliers. In addition, you will support internal and external continuous improvement initiatives and see business projects through to completion. You will also contribute to operational processes by ensuring that key performance indicators and performance management targets are met, sharing best practices, and supporting the super key user community.
What you will bring
A desire to drive your future and accelerate your career. You will bring experience and knowledge in:
Qualifications & Experience:
- Minimum of 3 years of experience in SAP Master Data Management, particularly within the Material, Product, BOM, Customer, and Pricing domains. Experience in an SAP consultancy firm or consultancy role is a plus .
- Strong understanding of SAP landscape, data architecture, and master data governance best practices.
- Knowledge of data governance frameworks, compliance, and regulatory requirements.
- Experience with SAP S/4 HANA is preferred but not mandatory .
- Excellent stakeholder management skills, with the ability to engage and collaborate with diverse business units.
- Ability to work effectively in an agile and dynamic environment, demonstrating initiative and adaptability.
- Strong analytical skills, with experience using data to drive business insights and decisions.
- Knowledge of data analysis tools such as SQL, Python, Tableau, Microsoft Power BI, or similar platforms is an advantage.
- DAMA certification or equivalent data management qualification is preferred.
- Strong communication and interpersonal skills, with a focus on attention to detail.
- Ability to lead and influence cross-functional teams.
- High degree of professionalism, integrity, and organizational skills.
- Ability to thrive in a collaborative, team-oriented environment while maintaining independence in decision-making.
- Proficiency in working with data-driven solutions and tools, e.g., Power BI
Job Description
- Lead and drive data management activities and governance initiatives for the Material, Product, BOM, Customer, and Pricing domains, ensuring data accuracy, consistency, and compliance with both internal and external standards.
- Serve as a liaison between business requestors and back-office teams for master data requests, ensuring high data quality, accuracy, and timely updates across all domains.
- Collaborate with key stakeholders across business units to understand data needs, requirements, and objectives, acting as the primary point of contact for business functions and data owners.
- Identify and implement process improvements to enhance data management efficiency and ensure seamless data integration across systems.
- Provide project support for global, regional, and local initiatives, working closely with back-office teams and facilitating end-user testing and training to ensure successful, on-time delivery of project deliverables.
- Develop and enforce data quality controls, addressing discrepancies and implementing corrective measures as needed.
- Leverage data-driven insights to support decision-making, offering recommendations based on thorough data analysis and trends.
- Adapt to evolving business needs in a fast-paced, agile environment, ensuring responsiveness and flexibility.
- Ensure data management practices adhere to all relevant regulatory and compliance requirements and take ownership of the related SOPs.
- Serve as Master Data SME for the relevant domain assigned and provide support and expertise as required to all the BUs within the MENAP cluster.
- Support and mentor fellow DMS Business Partners, promoting teamwork, collaboration, and knowledge sharing within the team.
Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
Job Type RegularRelationship ManagementGlobal Business ServicesJob Description
Are You Ready to Make It Happen at Mondelēz International?
Join our Mission to Lead the Future of Snacking. Make It Matter.
Mondelēz International empowers people to snack right in over 150 countries worldwide. We're leading the future of snacking with iconic global and local brands such as Oreo, Cadbury, Philadelphia, Belvita, Ritz, and Toblerone.
Commencing a journey with Mondelez is much more than a new job; it’s a long-term career opportunity where your existing experience will be leveraged, further developed, and then rewarded by a strong focus on internal mobility. This is a rare opportunity to develop and grow your master data career in a global business with iconic brands and amazing growth opportunities!
You work with functions and business units to develop strategic roadmaps and to plan agreed-upon outcomes. In this role, you ensure that commitments are met and serve as the point of contact for Mondelēz International Business Services.
How you will contribute
You will offer your support on issues and challenges that arise in the processes used in the shared services team and with third-party suppliers. In addition, you will support internal and external continuous improvement initiatives and see business projects through to completion. You will also contribute to operational processes by ensuring that key performance indicators and performance management targets are met, sharing best practices, and supporting the super key user community.
What you will bring
A desire to drive your future and accelerate your career. You will bring experience and knowledge in:
Qualifications & Experience:
- Minimum of 3 years of experience in SAP Master Data Management, particularly within the Material, Product, BOM, Customer, and Pricing domains. Experience in an SAP consultancy firm or consultancy role is a plus .
- Strong understanding of SAP landscape, data architecture, and master data governance best practices.
- Knowledge of data governance frameworks, compliance, and regulatory requirements.
- Experience with SAP S/4 HANA is preferred but not mandatory .
- Excellent stakeholder management skills, with the ability to engage and collaborate with diverse business units.
- Ability to work effectively in an agile and dynamic environment, demonstrating initiative and adaptability.
- Strong analytical skills, with experience using data to drive business insights and decisions.
- Knowledge of data analysis tools such as SQL, Python, Tableau, Microsoft Power BI, or similar platforms is an advantage.
- DAMA certification or equivalent data management qualification is preferred.
Skills & Competencies:
- Strong communication and interpersonal skills, with a focus on attention to detail.
- Ability to lead and influence cross-functional teams.
- High degree of professionalism, integrity, and organizational skills.
- Ability to thrive in a collaborative, team-oriented environment while maintaining independence in decision-making.
- Proficiency in working with data-driven solutions and tools, e.g., Power BI
Job Description
- Lead and drive data management activities and governance initiatives for the Material, Product, BOM, Customer, and Pricing domains, ensuring data accuracy, consistency, and compliance with both internal and external standards.
- Serve as a liaison between business requestors and back-office teams for master data requests, ensuring high data quality, accuracy, and timely updates across all domains.
- Collaborate with key stakeholders across business units to understand data needs, requirements, and objectives, acting as the primary point of contact for business functions and data owners.
- Identify and implement process improvements to enhance data management efficiency and ensure seamless data integration across systems.
- Provide project support for global, regional, and local initiatives, working closely with back-office teams and facilitating end-user testing and training to ensure successful, on-time delivery of project deliverables.
- Develop and enforce data quality controls, addressing discrepancies and implementing corrective measures as needed.
- Leverage data-driven insights to support decision-making, offering recommendations based on thorough data analysis and trends.
- Adapt to evolving business needs in a fast-paced, agile environment, ensuring responsiveness and flexibility.
- Ensure data management practices adhere to all relevant regulatory and compliance requirements and take ownership of the related SOPs.
- Serve as Master Data SME for the relevant domain assigned and provide support and expertise as required to all the BUs within the MENAP cluster.
- Support and mentor fellow DMS Business Partners, promoting teamwork, collaboration, and knowledge sharing within the team.
Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
Job Type RegularRelationship ManagementGlobal Business ServicesData Management Services Business Partner, Gulf & DM
#J-18808-LjbffrData Management Services Business Partner, Gulf & DM
Posted 8 days ago
Job Viewed
Job Description
Data Management Services Business Partner, Gulf & DM page is loadedData Management Services Business Partner, Gulf & DM Apply locations Manama, Bahrain time type Full time posted on Posted Yesterday time left to apply End Date: July 20, 2025 (7 days left to apply) job requisition id R-143618Job Description
Are You Ready to Make It Happen at Mondelēz International?
Join our Mission to Lead the Future of Snacking. Make It Matter.
Mondelēz International empowers people to snack right in over 150 countries worldwide. We're leading the future of snacking with iconic global and local brands such as Oreo, Cadbury, Philadelphia, Belvita, Ritz, and Toblerone.
Commencing a journey with Mondelez is much more than a new job; it’s a long-term career opportunity where your existing experience will be leveraged, further developed, and then rewarded by a strong focus on internal mobility. This is a rare opportunity to develop and grow your master data career in a global business with iconic brands and amazing growth opportunities!
You work with functions and business units to develop strategic roadmaps and to plan agreed-upon outcomes. In this role, you ensure that commitments are met and serve as the point of contact for Mondelēz International Business Services.
How you will contribute
You will offer your support on issues and challenges that arise in the processes used in the shared services team and with third-party suppliers. In addition, you will support internal and external continuous improvement initiatives and see business projects through to completion. You will also contribute to operational processes by ensuring that key performance indicators and performance management targets are met, sharing best practices, and supporting the super key user community.
What you will bring
A desire to drive your future and accelerate your career. You will bring experience and knowledge in:
Qualifications & Experience:
- Minimum of 3 years of experience in SAP Master Data Management, particularly within the Material, Product, BOM, Customer, and Pricing domains. Experience in an SAP consultancy firm or consultancy role is a plus .
- Strong understanding of SAP landscape, data architecture, and master data governance best practices.
- Knowledge of data governance frameworks, compliance, and regulatory requirements.
- Experience with SAP S/4 HANA is preferred but not mandatory .
- Excellent stakeholder management skills, with the ability to engage and collaborate with diverse business units.
- Ability to work effectively in an agile and dynamic environment, demonstrating initiative and adaptability.
- Strong analytical skills, with experience using data to drive business insights and decisions.
- Knowledge of data analysis tools such as SQL, Python, Tableau, Microsoft Power BI, or similar platforms is an advantage.
- DAMA certification or equivalent data management qualification is preferred.
Skills & Competencies:
- Strong communication and interpersonal skills, with a focus on attention to detail.
- Ability to lead and influence cross-functional teams.
- High degree of professionalism, integrity, and organizational skills.
- Ability to thrive in a collaborative, team-oriented environment while maintaining independence in decision-making.
- Proficiency in working with data-driven solutions and tools, e.g., Power BI
Job Description
- Lead and drive data management activities and governance initiatives for the Material, Product, BOM, Customer, and Pricing domains, ensuring data accuracy, consistency, and compliance with both internal and external standards.
- Serve as a liaison between business requestors and back-office teams for master data requests, ensuring high data quality, accuracy, and timely updates across all domains.
- Collaborate with key stakeholders across business units to understand data needs, requirements, and objectives, acting as the primary point of contact for business functions and data owners.
- Identify and implement process improvements to enhance data management efficiency and ensure seamless data integration across systems.
- Provide project support for global, regional, and local initiatives, working closely with back-office teams and facilitating end-user testing and training to ensure successful, on-time delivery of project deliverables.
- Develop and enforce data quality controls, addressing discrepancies and implementing corrective measures as needed.
- Leverage data-driven insights to support decision-making, offering recommendations based on thorough data analysis and trends.
- Adapt to evolving business needs in a fast-paced, agile environment, ensuring responsiveness and flexibility.
- Ensure data management practices adhere to all relevant regulatory and compliance requirements and take ownership of the related SOPs.
- Serve as Master Data SME for the relevant domain assigned and provide support and expertise as required to all the BUs within the MENAP cluster.
- Support and mentor fellow DMS Business Partners, promoting teamwork, collaboration, and knowledge sharing within the team.
Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
Job Type RegularRelationship ManagementGlobal Business ServicesAt Mondelēz International, our purpose is to empower people to snack right through offering the right snack, for the right moment, made the right way. That means delivering a broader range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about.
We have a rich portfolio of strong brands – both global and local. Including many household names such as Oreo, belVita and LU biscuits; Cadbury Dairy Milk, Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the number 1 position globally in biscuits, chocolate and candy as well as the No. 2 position in gum
Our 80,000 Makers and Bakers are located in our operations in more than80countries and are working to sell our products in over150countries around the world. They are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen, and happen fast.
#J-18808-LjbffrData Architect (Trading)
Posted 14 days ago
Job Viewed
Job Description
About Keyrock
Since our beginnings in 2017, we've grown to be a leading change-maker in the digital asset space, renowned for our partnerships and innovation.
Data Architect
Today, we rock with over 180 team members around the world. Our diverse team hails from 42 nationalities, with backgrounds ranging from DeFi natives to PhDs. Predominantly remote, we have hubs in London, Brussels, Singapore and Paris, and host regular online and offline hangouts to keep the crew tight.
We are trading on more than 80 exchanges, and working with a wide array of asset issuers. As a well-established market maker, our distinctive expertise led us to expand rapidly. Today, our services span market making, options trading, high-frequency trading, OTC, and DeFi trading desks.
But we’re more than a service provider. We’re an initiator. We're pioneers in adopting the Rust Development language for our algorithmic trading, and champions of its use in the industry. We support the growth of Web3 startups through our Accelerator Program. We upgrade ecosystems by injecting liquidity into promising DeFi, RWA, and NFT protocols. And we push the industry's progress with our research and governance initiatives.
At Keyrock, we're not just envisioning the future of digital assets. We're actively building it.
Position Overview
The Data Architect is responsible for designing, implementing, and maintaining an organization's data architecture and strategy, ensuring that data is collected, stored, and processed efficiently and securely to support business intelligence, data analytics, and machine learning operations (MLOps) practices.
Key Responsibilities
- Designing Data Architecture: Plan and implement a robust, scalable data architecture that integrates data from various sources and supports diverse analytical needs, while optimizing costs and meeting business requirements.
- Implementing Data Engineering Pipelines: Design and develop data pipelines for data extraction, transformation, and loading (ETL) processes, ensuring data quality and consistency.
- Enabling Data Intelligence and Analytics: Build and maintain data warehouses, data marts, and data lakes to support business intelligence and data analytics initiatives.
- Supporting MLOps Practices: Collaborate with data scientists and machine learning engineers to design and implement data infrastructure and processes that support machine learning model development, deployment, and maintenance.
- Ensuring Data Security and Compliance: Implement security measures, policies, and procedures to safeguard data privacy and comply with relevant regulations.
- Data Governance and Management: Establish and enforce data governance policies and standards to ensure data quality, integrity, and accessibility.
- Collaborating with Cross-Functional Teams: Work closely with data engineers, data scientists, business analysts, and other stakeholders to understand data requirements and translate them into technical solutions.
- Staying Abreast of Technological Advancements: Keep up-to-date with emerging technologies and trends in data architecture, data engineering, and MLOps to identify opportunities for improvement and innovation.
- Optimizing Data Performance: Monitor and analyze data processing performance, identify bottlenecks, and implement optimizations to enhance efficiency and scalability.
- Documentation and Knowledge Sharing: Create and maintain comprehensive documentation of data architecture, models, and processing workflows.
Technical Requirements
- Extensive experience in data architecture design and implementation.
- Strong knowledge of data engineering principles and practices.
- Expertise in data warehousing, data modelling, and data integration.
- Experience in MLOps and machine learning pipelines.
- Proficiency in SQL and data manipulation languages.
- Experience with big data platforms (including Apache Arrow, Apache Spark, Apache Iceberg, and Clickhouse) and cloud-based infrastructure on AWS.
Education & Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
- Preferred certifications (optional):
- AWS Cloud Data Engineer
- AWS Machine Learning Ops Engineer
Leadership & Collaboration
- Passion for building scalable, reliable, and secure systems in a fast-paced environment.
- Ability to translate complex technical concepts into clear, actionable insights for technical teams.
- Strong interpersonal skills with the ability to work effectively across cross-functional teams.
- Excellent problem-solving and analytical skills.
Our recruitment philosophy
We value self-awareness and powerful communication skills in our recruitment process. We seek fiercely passionate people who understand themselves and their career goals. We're after those with the right skills and a conscious choice to join our field. The perfect fit? A crypto enthusiast who’s driven, collaborative, acts with ownership and delivers solid, scalable outcomes.
Our offer
- A competitive salary package, with various benefits depending on method of engagement (Employee vs Contractor)
- Autonomy in your time management thanks to flexible working hours and the opportunity to work remotely
- The freedom to create your own entrepreneurial experience by being part of a team of people in search of excellence.
As an employer we are committed to building a positive and collaborative work environment. We welcome employees of all backgrounds, and hire, reward and promote entirely based on merit and performance.
Due to the nature of our business and external requirements, we perform background checks on all potential employees, passing which is a prerequisite to join Keyrock.
#J-18808-LjbffrData Architect (Trading)
Posted 15 days ago
Job Viewed
Job Description
Join to apply for the Data Architect (Trading) role at Keyrock
Join to apply for the Data Architect (Trading) role at Keyrock
About Keyrock
Since our beginnings in 2017, we've grown to be a leading change-maker in the digital asset space, renowned for our partnerships and innovation.
Data Architect
About Keyrock
Since our beginnings in 2017, we've grown to be a leading change-maker in the digital asset space, renowned for our partnerships and innovation.
Today, we rock with over 180 team members around the world. Our diverse team hails from 42 nationalities, with backgrounds ranging from DeFi natives to PhDs. Predominantly remote, we have hubs in London, Brussels, Singapore and Paris, and host regular online and offline hangouts to keep the crew tight.
We are trading on more than 80 exchanges, and working with a wide array of asset issuers. As a well-established market maker, our distinctive expertise led us to expand rapidly. Today, our services span market making, options trading, high-frequency trading, OTC, and DeFi trading desks.
But we’re more than a service provider. We’re an initiator. We're pioneers in adopting the Rust Development language for our algorithmic trading, and champions of its use in the industry. We support the growth of Web3 startups through our Accelerator Program. We upgrade ecosystems by injecting liquidity into promising DeFi, RWA, and NFT protocols. And we push the industry's progress with our research and governance initiatives.
At Keyrock, we're not just envisioning the future of digital assets. We're actively building it.
Position Overview
The Data Architect is responsible for designing, implementing, and maintaining an organization's data architecture and strategy, ensuring that data is collected, stored, and processed efficiently and securely to support business intelligence, data analytics, and machine learning operations (MLOps) practices.
Key Responsibilities
- Designing Data Architecture: Plan and implement a robust, scalable data architecture that integrates data from various sources and supports diverse analytical needs, while optimizing costs and meeting business requirements.
- Implementing Data Engineering Pipelines: Design and develop data pipelines for data extraction, transformation, and loading (ETL) processes, ensuring data quality and consistency.
- Enabling Data Intelligence and Analytics: Build and maintain data warehouses, data marts, and data lakes to support business intelligence and data analytics initiatives.
- Supporting MLOps Practices: Collaborate with data scientists and machine learning engineers to design and implement data infrastructure and processes that support machine learning model development, deployment, and maintenance.
- Ensuring Data Security and Compliance: Implement security measures, policies, and procedures to safeguard data privacy and comply with relevant regulations.
- Data Governance and Management: Establish and enforce data governance policies and standards to ensure data quality, integrity, and accessibility.
- Collaborating with Cross-Functional Teams: Work closely with data engineers, data scientists, business analysts, and other stakeholders to understand data requirements and translate them into technical solutions.
- Staying Abreast of Technological Advancements: Keep up-to-date with emerging technologies and trends in data architecture, data engineering, and MLOps to identify opportunities for improvement and innovation.
- Optimizing Data Performance: Monitor and analyze data processing performance, identify bottlenecks, and implement optimizations to enhance efficiency and scalability.
- Documentation and Knowledge Sharing: Create and maintain comprehensive documentation of data architecture, models, and processing workflows.
- Extensive experience in data architecture design and implementation.
- Strong knowledge of data engineering principles and practices.
- Expertise in data warehousing, data modelling, and data integration.
- Experience in MLOps and machine learning pipelines.
- Proficiency in SQL and data manipulation languages.
- Experience with big data platforms (including Apache Arrow, Apache Spark, Apache Iceberg, and Clickhouse) and cloud-based infrastructure on AWS.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
- Preferred certifications (optional):
- AWS Cloud Data Engineer
- AWS Machine Learning Ops Engineer
- Passion for building scalable, reliable, and secure systems in a fast-paced environment.
- Ability to translate complex technical concepts into clear, actionable insights for technical teams.
- Strong interpersonal skills with the ability to work effectively across cross-functional teams.
- Excellent problem-solving and analytical skills.
We value self-awareness and powerful communication skills in our recruitment process. We seek fiercely passionate people who understand themselves and their career goals. We're after those with the right skills and a conscious choice to join our field. The perfect fit? A crypto enthusiast who’s driven, collaborative, acts with ownership and delivers solid, scalable outcomes.
Our offer
- Competitive salary package
- Autonomy in your time management thanks to flexible working hours and the opportunity to work remotely
- The freedom to create your own entrepreneurial experience by being part of a team of people in search of excellence
Due to the nature of our business and external requirements, we perform background checks on all potential employees, passing which is a prerequisite to join Keyrock.
Seniority level
- Seniority level Mid-Senior level
- Employment type Full-time
- Job function Engineering and Information Technology
Referrals increase your chances of interviewing at Keyrock by 2x
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#J-18808-LjbffrSenior Manager, Data Architect
Posted 6 days ago
Job Viewed
Job Description
The Senior Manager, Data Architect, will be a critical technical leader responsible for shaping the firm's data architecture strategy and guiding its execution across various business functions.
This individual will ensure that data is structured, managed, and integrated effectively to support complex investment operations, regulatory compliance, analytical needs, and business intelligence.
Client DetailsLeading investment financial services firm, renowned for its innovative investment strategies, strong market presence, and commitment to technological excellence.
Description- Data Architecture Strategy: Define and evolve the firm's enterprise data architecture strategy, including data governance, data lifecycle management, data security, and data quality frameworks, aligned with business objectives and regulatory requirements.
- Architectural Design & Oversight: Lead the design and implementation of scalable, robust, and high-performance data architectures for transactional systems, data warehouses, data lakes, and analytical platforms, ensuring architectural integrity across all data initiatives.
- Data Modelling Expertise: Provide guidance and hands-on contributions to logical and physical data modelling for complex financial datasets, ensuring optimal database design, data integrity, and performance for various applications.
- Technology Evaluation & Selection: Evaluate and recommend data technologies, tools, and platforms (e.g., relational databases, NoSQL, data warehousing solutions, cloud data services, streaming platforms) that fit the firm's architectural vision and needs.
- Vendor & Consulting Firm Management: Collaborate with external vendors and consulting firms, overseeing their contributions and ensuring alignment with the firm's data strategy.
- Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or related field.
- Minimum of 10+ years of experience in data architecture or related fields, with at least 4 years in a senior or leadership role within financial services or investment sector.
- Extensive experience in data modelling, schema design, and database techniques, with a strong understanding of performance and scalability impacts.
- Experience across data warehousing, data lakes, ETL/ELT, data governance, metadata management, and data security.
An exceptional opportunity to lead the data architecture transformation at a prominent investment financial services firm in Bahrain.
Skills
Data architecture, data modelling, data governance, cloud data services, data security, data warehousing, data lakes, ETL/ELT, vendor management.
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