Specialist Data Architecture at CRDB Bank Tanzania

Reporting Line

MANAGER DATA ARCHITECTURE AND INTEGRATION

Location

Tanzania Head Office

Department

DATA MANAGEMENT OFFICE

Number of openings

1

Job Purpose

The Specialist Data Architecture is responsible for designing, implementing, and governing the bank's enterprise data architecture to support the bank’s Data Maturity journey. The role ensures that data is structured, managed, and utilized efficiently to drive business value. The Data Architect will play a key role in enabling Master Data Management (MDM), Data Governance, Data Quality, Metadata Management, Advanced Analytics, and Data Security, ensuring alignment with the bank’s strategic objectives. Furthermore, the role owner is expected to define data models, data standards, integration patterns, and data pipelines to enhance enterprise-wide data accessibility, consistency, and security while supporting regulatory compliance and innovation through data-driven decision-making.

Principle Responsibilities

• Design and implement the Bank’s Enterprise Data Architecture to optimize data accessibility, interoperability, and efficiency across business functions.
• Develop and enforce data modelling and data design standards (conceptual, logical, and physical) to ensure consistency across structured and unstructured data assets.
• Lead data integration strategy and execution, ensuring seamless connectivity between core banking systems, enterprise data warehouses, data lakes, and cloud platforms.
• Establish and maintain metadata management frameworks, including data catalogs, data dictionaries, and lineage tracking for improved data transparency and governance.
• Define and operationalize enterprise-wide Data Quality frameworks, embedding automated validation, profiling, and monitoring mechanisms to enhance data reliability.
• Ensure compliance with regulatory and security requirements, including data classification, encryption, access controls, and data retention policies.
• Architect scalable and cost-efficient data environments that support current and future business needs while ensuring optimal performance.
• Enable AI, Advanced Analytics, and Self-Service BI platforms by ensuring data readiness, accessibility, and governance for predictive analytics and AI/ML models.
• Continuously assess and integrate emerging data technologies and frameworks, including Data Mesh, Data Fabric, and DataOps, to drive innovation and efficiency.
• Collaborate with business and IT teams to provide expert guidance on data-related initiatives, ensuring alignment with enterprise data strategy and digital transformation goals.

Qualifications Required

• Bachelors degree in Computer Science, Data Science, Information Systems, Information Technology, Software Engineering, Computer Engineering, Statistics, Mathematics, or a related field.
• Minimum of 3 years of experience in Data Architecture, Data Management, or Data Engineering roles.
• TOGAF, CDMP (DAMA), or other Enterprise Architecture and Data Management certifications are an added advantage.
• Big Data, Analytics, and Cloud Data Architect certifications (Cloudera, Snowflake, Databricks, AWS, Azure, Google Cloud, etc.) are beneficial.
• Strong understanding of DAMA-DMBOK principles, Enterprise Data Architecture, Data Governance, MDM frameworks, Metadata Management, and Data Quality practices.
• Proficiency in data modelling and database design techniques, including relational, dimensional, NoSQL, graph databases, ERD, normalization, denormalization, and star schema design.
• Hands-on experience with data integration (ETL/ELT), Data Warehousing, Data Lakes, Data Mesh architecture, SQL, NoSQL databases, Data Catalogs, Metadata Repositories, and enterprise data lake implementations.
• Strong knowledge of cloud platforms, hybrid data architectures, Big Data technologies (Hadoop, Spark, Kafka, Snowflake, Redshift, etc.), Advanced Analytics, AI/ML data pipelines, self-service BI architectures, and Data Security, Privacy, and Compliance frameworks.
• Proven experience in implementing enterprise data architecture, data management frameworks, Data Quality, Data Lineage, Metadata Management, and MDM initiatives, with strong analytical, problem-solving, stakeholder management, and collaboration skills; experience in Financial Services, Banking, or regulated industries is an added advantage.

CRDB Commitment

CRDB Bank is dedicated to upholding Sustainability and ESG practices and encourage applicants who share this commitment. The Bank also promotes an inclusive workplace, hence applications from women and individual with disabilities are encouraged.

It is important to note that CRDB Bank does not charge any fees for the application or recruitment process, and any requests for payment should be disregarded as they do not represent the bank’s practices.

Only Shortlisted Candidates will be Contacted.

Deadline

2026-10-20

Employment Terms

PERMANENT