Senior Data Engineer Lead

Job Description Manager Data Engineering

We are seeking a Manager-Level Data Architect to lead and support a team of data engineers while driving the evolution of our enterprise data platform. This role combines deep technical expertise in SQL Server database administration with modern data engineering practices
, and plays a key role in our transition from self-managed IaaS-based database platforms to fully managed PaaS solutions
.

The ideal candidate brings strong hands-on DBA experience, proven leadership of small engineering teams, and a track record of planning and executing database migrations to cloud-managed services. This individual will partner closely with Program Management (PM) to ensure effective planning, execution, and delivery of data platform initiatives.

• Lead, mentor, and manage a team of 3–5 data engineers across platform and integration tracks
• Collaborate with Program Managers to plan, prioritize, and execute data initiatives
• Drive accountability for project delivery, operational excellence, and continuous improvement
• Provide technical guidance and architectural oversight across all data-related work streams

• Oversee setup, configuration, and maintenance of data platforms and environments
  • SQL Server clusters (IaaS, self-managed)
  • Aurora PostgreSQL and other cloud-native databases
  • BI platforms (SSRS, Tableau, PowerBI)
• Lead database administration activities including performance tuning, high availability, backup/recovery, and upgrades
• Define and implement access control, governance, and security best practices
• Drive Data Ops practices including monitoring, reliability, and performance optimization
• Implement and manage CI/CD pipelines for database and platform deployments (Python, Liquibase)
• Lead security remediation efforts and compliance initiatives

• Oversee design and development of scalable data pipelines and integration workflows
• Guide implementation of ETL/ELT processes using SSIS, AWS Glue, and Python
• Support development and optimization of data marts and analytical data models
• Ensure strong Data Ops practices including data quality, observability, and freshness monitoring
• Lead and support data migration efforts, particularly SQL Server to PaaS transitions
• Optimize performance and scalability of data pipelines and integration processes

• Plan and execute migration strategies from SQL Server (IaaS) to managed PaaS database services
• Evaluate target architectures and recommend best-fit cloud-native solutions
• Ensure minimal disruption and high data integrity during migration processes

• 10+ years of experience in data architecture, database administration, or data engineering roles
• Strong hands-on experience as a SQL Server DBA (current or prior role), including performance tuning, HA/DR, and operational support
• Proven experience leading small engineering teams (5–7 members)
• Experience designing and managing self-hosted database environments (IaaS)
• Demonstrated experience planning and executing database migrations to PaaS/cloud-managed services
• Strong understanding of Data Ops practices, including monitoring, reliability, and performance management
• Experience building and maintaining data pipelines and ETL/ELT processes (SSIS, Glue, Python)
• Experience with CI/CD tools and practices for data platforms (e.g., Liquibase, Python-based automation)
• Familiarity with BI tools such as SSRS and Tableau
• Strong collaboration skills and experience working closely with Program/Product Management
• Solid understanding of data security, governance, and access control

• Experience with AWS data services (e.g., Aurora PostgreSQL, Glue, S3, RDS) or equivalent cloud platforms
• Experience…