Candidate Specification: 7+ years overall, Relevant 7+ years

Candidate Location: Pan India

Education and Certification: Any Graduation

:

- 7+ in data engineering or analytics architecture, with substantial hands-on AWS-based analytics.
- Experience owning the reporting-layer data architecture and semantic model and turning business requirements and support tickets into robust data models.
- Experience running enterprise BI platforms in a live production / support capacity (BAU / L2-L3, SLA-driven).
- Experience setting data-modelling, security and performance standards, and providing technical leadership to engineers and architects.
- Understanding of incident, service-request, problems, and change management processes for analytics and reporting services.
- Ability to manage dashboard enhancements, access requests, refresh failures, data-quality issues, production defects, and user queries within agreed service levels.




- Strong knowledge of data lineage, data quality, metadata, KPI governance, access controls, and business glossary management.
- Experience with Jira, Confluence, ServiceNow, or similar delivery and support-management tools.

Key technical skills:

- AWS analytics stack Glue, Lake Formation, Athena and S3. Amazon QuickSight datasets, SPICE and the semantic layer.
- Exposure to robust SQL and data modelling.
- Row-/column-level security design, and performance / cost tuning.
- Amazon Bedrock / natural-language analytics.
- Experience with Redshift or other cloud data warehouses.
- Exposure to data-mesh / data-product patterns.
- Financial-services data domain exposure.
- Superior communication skills written and oral.

📌 AWS Data Architect (Bengaluru)
🏢 Golden Opportunities
📍 Bengaluru