Data Engineering Project Manager
Data Engineering Project Manager
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Job Description
Role: Data Engineering Project Manager
Location: 100% ONSITE in DALLAS TX- MUST LIVE IN DALLAS- NO RELOCATION etc.
Data Engineer Project Manager position as well similar to Data Engineer but more Project Manager focused..
Blutic is seeking an experienced Data Engineer Project Manager with 7 years of data engineering expertise and proven ability to lead and manage complex data projects. The ideal candidate will combine strong technical skills in SQL Python and automation with project management stakeholder engagement and team leadership capabilities. Hands-on experience with Databricks Snowflake and Azure cloud services (e.g. Azure Data Lake Azure Data Factory Azure Functions) is essential.
This is an onsite position for 6 months with a possibility of extension. The selected candidate will work 5 days a week at the clients office in Dallas Texas.
Key Responsibilities
- Lead and manage end-to-end data engineering projects ensuring timely delivery and alignment with business goals.
- Oversee the design development and optimization of ETL/ELT pipelines using Databricks SQL and Python.
- Coordinate project plans milestones and resources across cross-functional teams.
- Collaborate with business stakeholders to gather requirements and translate them into scalable data solutions.
- Ensure data quality governance and compliance across platforms.
- Monitor project progress manage risks and troubleshoot performance issues.
- Mentor and guide junior engineers fostering best practices in development testing and automation.
- Manage project documentation reporting and communication with senior leadership.
Required Qualifications
- 7 years of experience in data engineering with strong exposure to project management.
- Proficiency in SQL Python and automation for data transformation and workflow optimization.
- Hands-on experience with Databricks Snowflake and Azure cloud services (Data Lake Data Factory Azure Functions).
- Strong knowledge of data modeling warehousing and ETL/ELT best practices.
- Demonstrated ability to manage cross-functional teams and complex projects.
- Familiarity with version control CI/CD and agile methodologies.
- Excellent communication problem-solving and stakeholder management skills.
Employment Type
Full-time
