Description

You will provide independent architectural advisory, risk assessment, and governance for enterprise-scale Databricks lakehouse implementations on AWS.

This role is remote.

Responsibilities

• Conduct objective third-party reviews of data platform architecture, validating lakehouse design choices and identifying gaps or antipatterns.
• Assess alignment with modern data paradigms including ELT, medallion architecture, and AI/ML readiness while ensuring enterprise governance standards.
• Proactively identify technical and operational risks impacting delivery timelines, providing mitigation strategies and decision frameworks.
• Facilitate architecture discussions with customer SMEs, internal teams, and third-party vendors to resolve conflicts and drive consensus.
• Define and enforce architecture standards, data governance frameworks, and performance optimization guidelines.

Required Skills

• 15+ years of experience in data engineering, data architecture, or analytics platform engineering.
• Deep expertise in Databricks platform architecture and AWS cloud services.
• Strong proficiency in Apache Spark, PySpark, and SQL.
• Proven experience with Delta Lake and lakehouse design patterns at scale.
• Strong understanding of data ingestion, ELT frameworks, and data governance/cataloging.
• Experience with DevOps practices and observability frameworks.
• Ability to operate independently as a trusted advisor in complex, multi-vendor environments.

Preferred Skills

• Experience in insurance or regulated industries.
• Exposure to BI/analytics transformation tools.

Referral Bonus: ₹50,000

Key Skills

Education

Bachelor's degree