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AWS Architect

India, Pune · Job Posted June 15, 2026
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Job Description

Skill Set : AI and Gen AI Architecture Total Experience : 10.00 to 15.00 Years No of Openings : 1 Job Post Date : 09/06/2026 Job Expiry Date : 31/07/2026 Domain : IT Location : PUNE [India] Job Reference No : 4083065

Job Responsibility

  • Refine and maintain target state Lakehouse architecture – security zones, data classifications, HA/DR patterns, CI/CD integration
  • Define and enforce migration blueprints and patterns (Redshift – Iceberg on Databricks, Redshift – Snowflake) for Tier 1/Tier 2 workloads
  • Establish technical guardrails – schema standardization, naming conventions, ETL/ELT design patterns, performance & cost optimization, observability
  • Architect data layer for Agentic AI readiness – Unity Catalog governance, metadata standards, open table formats (Managed Iceberg) optimized for autonomous AI agent consumption
  • Author Architectural Decision Records (ADRs) for every significant design decision
  • Review and approve all production deployments for architectural integrity
  • participate in CAB for high risk changes
  • Lead architecture workshops and KT sessions for EchoStar architects and tech leads
  • Ensure all prototypes are production grade – no new technical debt creation

Requirements

  • A Bachelor's or Higher Degree is the minimum entry required for the position
  • Expert level knowledge of Databricks (Lakehouse, Delta/Iceberg, Unity Catalog, DLT, Autoloader) and Snowflake (Snowpipe, Snowpark, Streams, Tasks, Cortex AI, Horizon Catalog)
  • Deep experience with AWS – S3, Redshift, Athena, Glue, EMR, Lambda, CloudWatch, DynamoDB
  • Hands on experience designing Redshift/legacy to Lakehouse migration architectures
  • Strong understanding of open table formats (Iceberg, Delta Uniform), medallion architecture (Bronze/Silver/Gold)
  • Experience with Apache Airflow for orchestration and GitLab CI/CD pipelines
  • Proficiency in Terraform / CloudFormation for IaC

Nice to have

  • Telecom data domain expertise (billing, CDR, subscriber, network, video services)
  • Experience with Databricks Genie, AgentBricks, Lakeflow Connect
  • Familiarity with Dynatrace for observability
  • Databricks Certified Data Engineer Professional or Snowflake SnowPro Core certification
  • Experience with AI governance frameworks (bias, lineage, traceability)

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