Cloud Data Platform Engineer - Senior

Overview

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

Job Title: Cloud & Infra Data Engineer – Senior

Job Summary:

We are seeking a Senior Cloud & Infra Data Engineer with up to 8 years of experience in cloud infrastructure and operational data enablement, with strong database skills to support modernization, configuration/state data processing, telemetry ingestion, and migration-related datasets.

Key Responsibilities:

• Build and maintain data ingestion pipelines for infra telemetry, logs, config/state data, and migration datasets.
• Perform database extraction, transformation, and loading for modernization and migration workflows.
• Support legacy RDBMS modernization into cloud-managed services (Azure SQL, AWS RDS, PostgreSQL, MySQL).
• Implement DB scripts, stored procedures, indexing strategies, backups, and DR configurations for operational databases.
• Configure cloud storage tiers, DB access controls, IAM policies, encryption, and lifecycle management.
• Troubleshoot DB connectivity, schema inconsistencies, performance issues, and migration failures.
• Automate DB and data workflows using SQL, Python, Bash, or PowerShell.
• Assist in LLD creation, DB mapping documentation, schema optimization, and operational DB runbooks.
  
  

• Up to 8 years of experience with cloud/infra engineering and strong database administration/data ops capabilities.
• Hands-on experience with:
• Oracle, SQL Server, PostgreSQL, MySQL
• Cloud DB services (Azure SQL, PostgreSQL Flexible Server, AWS RDS)
• Strong SQL skills including schema creation, optimization, indexing, joins, views, triggers, and tuning.
• Experience performing DB migrations, data restructuring, and schema alignment.
• Understanding of IAM, encryption, networking, monitoring, and cloud storage fundamentals.
• Familiarity with ETL/ELT concepts applied to infra and operational data, not BI workloads.
  
  

• Experience with migration factories, DC exits, or hybrid cloud platform rollouts.
• Understanding of metadata, retention, lineage, and audit requirements for infra ops data.
• Exposure to IaC, pipelines, and cloud observability tooling.
• Strong troubleshooting skills across DB, storage, and connectivity layers.
  
  

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