AWS Data Architect

Job title: AWS Data Architect

Location: Bengaluru

 Work Mode: Work From Office

 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 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.