ROLE:Sr. Data Engineering Manager
Location:Columbia, MD, Lisle, IL or Minneapolis, MN Hybrid (4 days a week on site)
Duration: Fulltime
Rate:$160k direct perm + up to 20% bonus
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.
Description:
Senior Manager, Data Engineering
We are a datadriven organization focused on building reliable, scalable data capabilities that power analytics, AI, and strategic decision-making. Our Data Engineering team provides the foundational platforms, pipelines, and governance that enable trusted, timely, and highquality data across the enterprise.
We are seeking a Senior Manager, Data Engineering to lead a growing team responsible for designing, implementing, and continually improving our cloudbased data ecosystem. This role blends handson technical depth with people leadership, guiding engineers to deliver highimpact solutions within a modern stack that includes Google Cloud Platform, AWS, Python, SQL, Airflow, and Snowflake.
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.
CrossFunctional Collaboration:
Partner closely with product managers, analysts, and data scientists to translate requirements into technical solutions.
Ensure strong communication and alignment across engineering, analytics, and business stakeholders.
Optimize workflows, communication channels, and endtoend processes between teams.
Operational Excellence:
Manage competing priorities in a fastpaced environment while ensuring pipeline reliability and data quality.
Evaluate and enhance current engineering processes to improve clarity, collaboration, and throughput.
Support interview loops for engineering candidates, participate in hiring decisions, and contribute to technical assessments (coding may be part of the interview process).
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.
Demonstrated progression from Data Engineer to roles with increasing ownership and complexity.
Ability to translate complex engineering concepts to nontechnical audiences.
Experience defining roadmaps, executing iteratively, and delivering productionready systems.
Proven ability to manage multiple competing priorities in an Agile environment.
Strong analytical and problemsolving skills, with a proactive approach to improving processes.
Must be able to work onsite 4 days per week
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Thanks & Regards,
Mohan Sai| Talent Acquisition Lead
Thoughtwave Software and Solutions
Mobile/Text Messages: EXTN: 143
Email:
linkedin:
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: twss20260210R93
- Posted 13 hours ago
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