We are looking for an accomplished Data Architect with
12+ years of total experience and a minimum of 5 years of relevant Data Architecture experience
. Banking domain experience is preferred.
The ideal candidate should have solid expertise in enterprise data architecture, data warehousing, ETL/ELT, data modeling, analytics and cloud data platforms, with experience designing scalable, multi-regional data systems and modernizing enterprise data landscapes.
Key Responsibilities
- Architect and design enterprise data warehouses, data lakes and ETL/ELT pipelines.
- Lead data modeling, reconciliation, storage/capacity planning and adoption of data lineage tools.
- Drive migration of logical data warehouses across IBM, Teradata, SAP and Oracle platforms.
- Design scalable, multi-regional data systems with strong governance and compliance.
- Implement analytics and reporting solutions using Power BI, Tableau and Cognos.
- Integrate AI/ML data systems, LLM-based RAG systems,
Vector Databases and semantic search.
- Modernize legacy data systems into cloud/hybrid architectures.
- Apply CI/CD practices to data pipelines and governance frameworks.
- Collaborate with stakeholders to align data architecture with enterprise strategy.
- Utilize enterprise architecture tools such as Mega Hopex and ABACUS for architecture modeling and compliance.
Mandatory Skills
- Data Architecture
- Enterprise Data Warehousing
- Netezza
- Cloudera
- Lakehouse Architecture
- ETL/ELT pipeline design and optimization
- Data Modeling
- Data Reconciliation
- Data Visualization
- Oracle / SQL Server / PostgreSQL
- MongoDB / NoSQL
- Power BI / Tableau / Cognos
- Data Governance
- Data Migration
- AI/ML Data Systems
- AWS / Azure / GCP
- Mega Hopex / ABACUS