Data Architect - ETL/Data Warehousing

Job Description :

We are looking for an experienced Data Architect / Data Solution Architect with strong expertise in designing enterprise-scale data platforms and modern banking data ecosystems.

The ideal candidate should possess deep understanding of Banking & Financial Services (BFS) domain along with strong expertise in enterprise data architecture, data modeling, governance frameworks, integration architectures, and cloud-based data platforms.

The role requires strong architecture consulting capabilities, stakeholder management skills, and hands-on experience in designing scalable Enterprise Data Warehouses (EDW), Data Lakes, and Lakehouse platforms for large-scale banking transformation initiatives.

Key Responsibilities :

- Design and architect enterprise-scale data platforms including Enterprise Data Warehouse (EDW), Data Lake, and Lakehouse ecosystems.

- Lead data architecture strategy and solution design for Banking & Financial Services transformation initiatives.

- Develop conceptual, logical, and physical data models aligned with enterprise business and regulatory requirements.

- Design scalable Data Integration and ETL/ELT architectures across structured and unstructured data environments.

- Drive implementation of Data Governance, Data Quality, Metadata Management, Data Lineage, and enterprise data standards.

- Collaborate with business stakeholders, technology teams, data engineering teams, and leadership to define enterprise data strategies and transformation roadmaps.

- Support large-scale banking transformation programs including core banking modernization, regulatory reporting, and enterprise analytics initiatives.

- Define enterprise architecture standards, integration frameworks, and best practices for scalable data ecosystems.

- Ensure data architecture solutions align with security, compliance, scalability, and operational requirements.

- Drive architecture governance, technical reviews, design documentation, and stakeholder communication across projects.

- Support modernization initiatives involving cloud data platforms and modern analytics architectures.

- Provide technical leadership and mentoring to data engineering and architecture teams.

Mandatory Skills & Experience :

- 12 to 15+ years of experience in Data Architecture or Data Solution Architecture roles.

- Strong Banking & Financial Services (BFS) domain experience is mandatory.

- Proven experience designing enterprise data platforms including EDW, Data Lakes, and Lakehouse architectures.

- Strong expertise in conceptual, logical, and physical Data Modeling.

- Strong understanding of Data Integration and ETL/ELT architecture frameworks.

- Hands-on experience with Data Governance, Data Quality, Data Lineage, and Metadata Management.

- Excellent stakeholder communication, architecture consulting, and technical documentation skills.

Good to Have Skills :

- Experience with cloud data platforms such as Azure, AWS, or GCP.

- Exposure to Databricks, Snowflake, ADLS, Hadoop ecosystems, or related modern data platforms.

- Experience supporting core banking transformation initiatives or large regulatory programs.

- Familiarity with Banking Data Domains including Finance, Risk, Treasury, Compliance, and Operations.

Preferred Candidate Profile :

- Strong analytical and problem-solving capabilities.

- Ability to work in large-scale enterprise and transformation-driven environments.

- Strong understanding of modern data architecture and cloud modernization strategies.

- Excellent leadership, communication, and stakeholder management skills.