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Tier-1 brand, popular Data Engineer role, metro location, and broad required skillset increase candidate competition.
Requires deep data engineering, cloud, and database expertise, limiting easy cross-industry transfers.
Explicit 8+ years plus mandatory cloud, Snowflake, Databricks, and DB admin skills make filters strict.
Lead design, delivery, and modernization of enterprise data platforms, databases, and data engineering solutions ensuring reliability, scalability, security, and cost efficiency.
Provide technical leadership across Data Engineering, Database Administration, Cloud Data Platforms, and Data Warehouse operations including architecture standards and governance.
Manage project delivery, operational management, incident handling, mentoring, and cross-functional collaboration with Data Engineering, DBA, Cloud, SRE, Analytics, and Business teams.
8+ years of experience in Data Engineering, Database Engineering, Data Warehousing, or related disciplines.
Strong technical skills including Python, SQL, PySpark, ETL/ELT, CDC, PostgreSQL, MySQL, Aurora, Snowflake, Databricks, AWS Glue, S3, DMS, DynamoDB, IAM, VPC, CloudWatch.
Experience with enterprise data warehouses, data lakes, lakehouse platforms, cloud security, governance, and cost optimization practices.
Work Experience Required: 8+ years
Experienced leader capable of managing complex cross-functional projects and technical teams in data engineering and platform operations.
Deep expertise with cloud-based data services (especially AWS) and modern analytics platforms with focus on architecture, scalability, and cost efficiency.
Demonstrated ability to drive modernization initiatives, operational process improvements, strategic planning, and stakeholder management in a large enterprise environment.