Title- Sr. Data Engineering Manager
Location- Hybrid (4 days a week on site) in either Columbia, MD, Lisle, IL or Minneapolis, MN
Fulltime
Must haves:
Although this is a manager role they need to be able to be hands on so Leads and Sr. managers will be fine.
Must have hands on experience with Google Cloud Platform.
Strong experience with Snowflake.
Should have experienced with Airflow.
Experience managing teams or being the lead on projects.
Key Responsibilities
Leadership & Strategy
Lead, mentor, and grow a highperforming team of data engineers, focusing on skill development, quality, and delivery excellence.
Define and execute the technology roadmap for data acquisition, processing, storage, and utilization across the organization.
Serve as a key leader within the Data & Analytics function, contributing to long-term strategy and fostering a strong data-driven culture.
Establish clear SLAs and best practices for production datasets, pipelines, and operational processes.
Technical Ownership
Oversee the design, development, and optimization of largescale data pipelines and ETL processes,
primarily on Google Cloud Platform with complementary work in AWS.
Ensure solutions are robust, wellarchitected, and aligned with engineering standards around reliability, scalability, and performance.
Guide the implementation of orchestration frameworks such as Airflow, and data warehousing using Snowflake.
Participate in technical reviews and, when needed, contribute handson with coding, troubleshooting, testing, and documentation.
Support the development of selfservice layers and tools that empower analysts, data scientists, and product teams.
Required Qualifications
Bachelors or Masters degree in Computer Science, Engineering, or a related technical field.
8+ years of experience in data engineering (data platforms, ingestion, pipeline development, or data management).
3+ years of leadership experience building and managing highperforming engineering teams.
2+ years of handson experience with Google Cloud Platform services such as BigQuery, Composer, GCS, Dataflow, or Datastream.
Strong background in Python, SQL, Airflow, and Snowflake.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 10334366
- Position Id: twss20260211R91
- Posted 15 hours ago
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