Data Engineering Manager

Locals Only - Onsite/Hybrid Role

• Architect and implement scalable cloud-based lakehouse/warehouse solutions(Databricks/AWS)
• Design and optimize existing and future enterprise data models
• Build and maintain high-performance batch and real-time data pipelines (ETL/ELT, streaming)
• Implement effective data quality frameworks and monitoring
• Establish CI/CD pipelines and DataOps best practices for automated and secure deployment
• Implement data governance standards including cataloging, lineage, and metadata management
• Design strong security controls and access management
• Build the foundation for AI, automation, and advanced analytics initiatives
• Lead and mentor a team of data engineers, setting technical standards and engineering best practices
• Champion a culture of data excellence, accountability, and continuous innovation

Requirements

Qualifications:

• 10+ years of experience in data engineering, data architecture, or related fields
• 5+ years leading and developing technical teams
• Deep expertise in SQL, cloud data platform and distributed data processing frameworks
• Hands-on experience with modern cloud data platforms (Databricks, Snowflake, Redshift, BigQuery)
• Experience with ETL/ELT tools such as Alteryx and Informatica
• Strong understanding of data modeling (dimensional modeling and semantic layers)
• Experience with orchestration tools and data pipeline automation
• Proven ability to build scalable, secure, and reliable enterprise data solutions
• Strong communication skills with the ability to partner cross-functionally.