Description

• Must work on technology Cloud Modernization/Transformation program involving AWS Databricks.

• 12+ years in data architecture with at least 2 projects involving AWS Databricks.

• Strong experience in large-scale cloud data modernization programs • Strong experience in Data Architecture • Experience in AWS (S3, Glue, Lambda, Step Functions, Athena) • Strong experience in Databricks (Delta Lake, Unity Catalog) • Strong experience in Data modeling (Datawarehouse + Lakehouse) • Experience in Integration architecture & governance frameworks

Roles & Responsibilities

• Define target data architecture (Lakehouse/Data Platform) including ingestion, processing, storage, and consumption layers • Design scalable, fault-tolerant, and high-performance solutions on AWS • Establish data integration patterns and architecture standards • Drive data governance, data federation, security, and compliance frameworks • Lead POCs and architectural validations for critical requirements • Collaborate with business stakeholders to translate requirements into solution design • Guide engineering teams on best practices and platform optimization • Define cutover strategy: Dual-run / shadowing approach, Zero-downtime migration, Rollback mechanisms • Ensure architecture meets: High throughput and low latency requirements, Horizontal scalability, Fault tolerance and resiliency • Experience in AWS services like Lambda, SQS, Event Bridge, SNS, Step function, EKS, S3 etc.

Key Skills

Education

Bachelor's degree