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Closed on August 28, 2026.
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Lead Data Engineer
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Job Description
Lead Data Engineer focusing on Databricks to design, build, and deliver modern data and analytics solutions for clients, leading delivery teams and advising stakeholders.
Responsibilities
- Lead the end-to-end design and delivery of Databricks based data and analytics solutions for client projects.
- Coordinate project teams and workstreams through requirements gathering, design, development, testing, and deployment phases.
- Convert business and technical needs into scalable data pipelines, data models, and platform capabilities.
- Provide guidance to client stakeholders on architecture, implementation approaches, and operating model considerations for modern data platforms.
- Oversee solution quality, resolve issues, manage delivery progress, and support project economics and schedule adherence.
Requirements
- Bachelor's degree.
- At least 6 years of experience delivering data engineering, analytics, or cloud data platform solutions.
- 3+ years of hands-on experience with Databricks and Apache Spark.
- 3+ years of Python and SQL experience.
- 2+ years of leading project teams or workstreams.
- Ability to travel on average about 50%, depending on client engagements.
- Limited immigration sponsorship may be available.
Technologies
- Databricks
- Apache Spark
- Python
- SQL
- Delta Lake
- Unity Catalog
- MLflow
- AWS
- Microsoft Azure
- Google Cloud Platform (GCP)
The Team
This team helps clients modernize data environments and build scalable platforms for analytics, reporting, and decision-making. Professionals work across strategy, architecture, implementation, and deployment to improve how organizations manage and use data. Collaboration with business and technology stakeholders is common to deliver cloud-enabled, enterprise-scale solutions.
Location
Stamford, CT (onsite)
Compensation
USD 134,500 - 265,100 per yearly