Data Platform Migration Engineer (AWS & Governance)

Job Summary

We are seeking a Data Platform Migration Engineer with strong AWS and data governance experience to support a large-scale data platform modernization initiative. The ideal candidate will be responsible for migrating existing data pipelines, implementing Fine-Grained Access Control (FGAC), configuring AWS services, and ensuring compliance with governance and security standards.

Key Responsibilities

• Inventory, assess, and prioritize existing data pipelines, tables, and data products for migration or deprecation.
• Migrate legacy data pipelines to FGAC-compliant architectures using approved platform standards and best practices.
• Configure AWS services including IAM, S3, Athena, and Glue to support secure data access and governance requirements.
• Implement table-level permissions, compliance tagging, and access control policies.
• Coordinate PII encryption efforts at the staging layer and work with downstream consumers to ensure seamless adoption.
• Support migration of dashboards, Athena users, and data consumers to the new data catalog.
• Collaborate with engineering, governance, and platform teams to ensure successful migration execution.
• Utilize AI-powered development tools such as Cursor, Claude Code, and internal AI platforms to accelerate migration activities.
• Validate, test, and perform quality assurance on AI-assisted migration outputs.
• Make necessary code modifications and troubleshoot migration-related issues.

Required Qualifications

• 2+ years of hands-on AWS experience.
• Strong experience with:
  • AWS IAM
  • Amazon S3
  • Amazon Athena
  • AWS Glue
• Hands-on experience with Apache Spark or similar large-scale data processing frameworks.
• Understanding of data governance, access control, and compliance principles.
• Experience working with data migration, ETL, and data platform modernization initiatives.
• Strong analytical and troubleshooting skills.
• Ability to work independently and execute structured migration tasks with minimal supervision.

Preferred Qualifications

• Experience with Fine-Grained Access Control (FGAC) implementations.
• Exposure to AI-assisted software development tools such as Cursor, Claude Code, or similar platforms.
• Experience with enterprise data cataloging solutions.
• Knowledge of data security, privacy, and compliance frameworks.
• Experience supporting cloud-based data platforms at scale.

Required Skills

• AWS IAM
• S3
• Athena
• AWS Glue
• Apache Spark
• Data Governance
• Access Control
• Data Migration
• ETL
• Data Security & Compliance

Nice to Have

• SuperGlue experience
• Data Catalog Management
• AI-Assisted Development Tools
• Cloud Data Platform Modernization

Work Authorization: Open to candidates authorized to work in the United States.

Location Requirement: Hybrid role; candidates should be able to commute to Mountain View, CA as required.