Senior Data Architect

✅  Senior Data Architect
Enterprise Data Architecture | Financial Services | Cloud & Modern Data Platforms

Role Overview :
We are seeking a Senior Data Architect with strong hands-on expertise in designing enterprise-scale data architectures across complex financial ecosystems. The ideal candidate will lead enterprise data strategy, establish a single source of truth, and architect high-performance cloud and hybrid data platforms.
This role focuses more on architecture strategy, cloud platforms, governance, and enterprise design.

Key Responsibilities
Enterprise Data Architecture
Design enterprise-wide data architecture frameworks and standards.
Define canonical data models and enforce modeling governance across domains.
Architect Operational Data Stores (ODS) and enterprise Data Warehouses.
Lead enterprise-level architecture discussions with Business, Engineering, BI, and SOR teams.
Ensure traceability and single source of truth across platforms.
Cloud & Modern Data Platforms
Architect and optimize solutions across Snowflake, Oracle Exadata, Mongo

DB.
Design hybrid cloud data ecosystems (Azure / AWS).
Lead event-driven architectures and streaming patterns.
Define microservices-based data product strategy.
Data Governance & Metadata
Establish enterprise data catalog and lineage strategy (Alation, Collibra).
Define governance policies, standards, and stewardship models.
Support audit, compliance, and regulatory data controls.
Performance & Optimization
Define performance engineering strategies (partitioning, indexing, caching).
Oversee Snowflake warehouse scaling and optimization.
Review and approve ETL/ELT architectural patterns.
Technical Leadership
Act as SME for enterprise data architecture.
Mentor architects, engineers, and modelers.
Conduct architecture workshops and cross-functional design reviews.
Required Experience
15+ years in enterprise data architecture.
Strong experience in Financial Services (Cards, Payments, Banking).
Deep knowledge of Kimball, Inmon, Data Vault, DDD.
Strong experience in Snowflake, Oracle Exadata, Mongo

DB.
Cloud expertise in Azure and/or AWS.
Strong governance & enterprise metadata experience.
Python and SQL expertise.