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AWS Data Architect

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Onsite

AWS Data Architect

Golden Opportunities

AWS Data Architect

Skills

SQL QueriesData EngineeringData AnalysisAWSJiraConfluenceServiceNowChange Management

7 days ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

12 October 2026

What they need


Candidate Specification: 7+ years overall, Relevant 7+ years
Candidate Location: Pan India
Education and Certification: Any Graduation

Job description:

  • 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 strong 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.

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