We are looking for a seasoned Data Architect to lead the data architecture track for a large-scale analytics transformation programme. This is a hands-on leadership role where you will design, build, and drive delivery across a complex, multi-domain roadmap.
You will operate at the intersection of data engineering, programme governance, and business intelligence, ensuring that data is accurate, scalable, and aligned to business outcomes. This is a greenfield programme, requiring strong ownership of architecture, delivery, and stakeholder alignment.
Location - Mumbai/Bangalore/Hyderabad/Gurgaon (Hybrid - 3 Days a week in Office)
Responsibilities:
- Own end-to-end data architecture across Medallion layers (Bronze/Silver/Gold) on AWS
- Design atomic star schema data models (fact and dimension tables) across multiple business domains
- Define and implement aggregation and KPI layers aligned to business reporting requirements
- Establish data modelling standards, naming conventions, and design patterns across teams
- Ensure alignment with enterprise data strategy and roadmap
- Translate business processes into scalable and reusable data models
- Write and review SQL, Python, and Spark code for pipelines and transformations
- Build and validate data models in Snowflake or Databricks
- Deliver pipelines using AWS services (S3, Glue, Athena)
- Perform data reconciliation and validation across layers (source → curated → BI)
- Ensure data quality, consistency, and integrity across the pipeline
- Own end-to-end SDLC (requirements → design → build → test → release → operate)
- Lead and unblock data engineers and analysts on day-to-day delivery
- Identify blockers, dependencies, and risks early, and propose solutions
- Align delivery with programme roadmap and milestones
- Track execution using Jira and maintain documentation in Confluence
- Gather and validate requirements across multiple business domains
- Translate business requirements into technical designs and data models
- Communicate architecture decisions clearly to non-technical stakeholders
- Drive cross-team alignment to ensure consistent, reliable, and trusted outputs