Data Architect

Responsibilities

• Define the transition from existing data architecture to a target-state architecture to improve governance, scalability, and cost optimization.
• Assess existing architecture across source systems, ODS, DWH, staging, ETL, MDM, DQ, BI, metadata, and governance layers.
• Identify current-state issues such as technical debt, high licensing dependency, and data movement inefficiencies.
• Define target data architecture across lakehouse, DWH, semantic layer, governance, MDM, and AI-ready data services.
• Define ingestion patterns including batch, CDC, streaming, APIs, and file-based ingestion.
• Establish architecture standards for data modeling, security, metadata, lineage, data quality, and data lifecycle.
• Review and approve data models, integration designs, ETL/ELT designs, and BI semantic models.
• Ensure target architecture supports regulatory reporting, enterprise analytics, and future AI/LLM use cases.

Requirements

• Strong experience in enterprise data architecture and data platform modernization.
• Deep knowledge of ODS, DWH, lakehouse, data marts, semantic layers, BI, MDM, and governance.
• Experience with Oracle, Informatica, GoldenGate, Power BI, MDM, DQ, EDC/Axon, or similar platforms.
• Experience with cloud/lakehouse platforms such as Microsoft Fabric, Databricks, Snowflake, AWS, Azure, or GCP.
• Strong understanding of CDC, ETL/ELT, streaming, metadata, lineage, and security.
• Ability to communicate complex architecture decisions to executives, architects, and delivery teams.

About the Company

CoorB focuses on digital finance, building innovative solutions with an emphasis on process automation, user experience enhancement, and advanced data analytics. We help organizations achieve operational excellence and ensure a competitive edge in the evolving finance industry.