Help migrate enterprise data access and lakehouse tables to a governed AWS platform. This profile has two specialisms: access governance and lakehouse conversion. State your primary specialism; the assignment will match demonstrated depth.

What you will deliver

- Review catalogue, table and role inventories; identify readiness gaps, dependencies and migration risks with AWS consultants and customer engineers.
- For governance assignments, migrate BI and Athena access to project-scoped roles; troubleshoot permissions, audit role activity and support onboarding and offboarding.
- For lakehouse assignments, assess Delta tables and implement repeatable Iceberg conversion, reconciliation, query validation and recovery procedures.
- Test row and column access in non-production, including both allowed and denied cases; document implementation decisions and handover evidence.

Essential experience

- Hands-on AWS Glue Data Catalog, Athena, S3 and IAM; robust SQL and practical Python automation; evidence of debugging a live data platform issue.
- Governance specialism: implemented fine-grained access controls, preferably with Lake Formation; can trace authorisation and data access across services.
- Lakehouse specialism: hands-on Spark,



Apache Iceberg and Delta Lake migration or interoperability; can explain schema compatibility, parity tests and safe cutover.

Useful additional experience: CloudTrail analysis, infrastructure as code, cross-team migrations and automated security tests. The exact enterprise governance implementation will be confirmed during discovery. Early delivery expectations A validated inventory, an agreed migration design and a representative change with reproducible data or access tests. Senior candidates should be able to own design trade-offs and coordinate dependencies.

What to include with your CV

Describe one relevant migration or access-control implementation, your personal contribution, its scale, a failure you diagnosed and the checks used to accept the outcome.

Include role code, current Indian city, exact earliest start date, interview availability and expected engagement terms. customer details are confidential.

Pay: Up to ₹3,400,000.00 per year

Benefits

- Health insurance
- Provident Fund

Application Question(s):
- Current CTC
- Expected CTC
- Notice Period

Location:
- Delhi, Delhi (Delhi) (Preferred)

Work Location: Hybrid remote in Delhi, Delhi (Delhi)

📌 AWS Data Platform and Governance Engineer (Delhi)
🏢 Vamstar
📍 Delhi