Lead Data Engineer - Databricks
Grand Rapids, MI · HybridContract / Full-timePosted 1 day agoStill listed today
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At a glance
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Job overview
Celebal Technologies seeks a Lead Data Engineer to design and implement scalable, secure, high-performance data lakehouse solutions. The role focuses on Databricks, Medallion Architecture, Azure or AWS, and production-grade data engineering. The engineer will build and optimize data pipelines, establish governance and access-control practices, and provide technical leadership and architectural guidance to data engineering teams.
Skills & qualifications
Skills
Qualifications
Full job description
Job Title: Lead Data Engineer Location: Grand Rapid, MI Work Mode: Hybrid Job Type: Contract / Full-Time Certification: Databricks Certification preferred
Job Summary
We are seeking an experienced Lead Data Engineer to design and implement scalable, secure, and high-performance data lakehouse solutions. The ideal candidate should have strong expertise in Databricks, Medallion Architecture, Azure/AWS cloud platforms, SQL, PySpark, Python, and Databricks Auto Loader.
Key Responsibilities
- Design and implement enterprise-scale data architectures using Databricks.
- Develop scalable data pipelines using SQL, PySpark, and Python.
- Implement Medallion Architecture, including Bronze, Silver, and Gold layers.
- Build incremental and streaming data ingestion pipelines using Databricks Auto Loader.
- Integrate Databricks with Azure or AWS cloud services.
- Optimize Spark workloads, SQL queries, cluster configurations, and data processing performance.
- Implement Delta Lake solutions for reliable data storage and processing.
- Establish data governance, security, and access control best practices.
- Provide technical leadership and architectural guidance to data engineering teams.
- Support production deployments, troubleshooting, and performance optimization.
Required Skills and Qualifications
- Strong experience with Databricks architecture and Lakehouse solutions.
- Hands-on expertise in Medallion Architecture.
- Proficiency in SQL, PySpark, and Python.
- Practical experience with Databricks Auto Loader.
- Experience with Azure Databricks or AWS Databricks.
- Strong understanding of Apache Spark, Delta Lake, and ETL/ELT pipelines.
- Experience in data pipeline optimization and production-grade data engineering.
- Knowledge of data governance, security, and scalable architecture design.
- Strong communication, analytical, and problem-solving skills.
Preferred Qualifications
- Databricks certification preferred.
- Experience with Unity Catalog and data governance.
- Knowledge of Delta Live Tables (DLT) or Lakeflow Declarative Pipelines.
- Experience with CI/CD, Git, and infrastructure-as-code tools.
- Experience with cloud migration and enterprise data platform modernization.
- Previous experience leading technical teams or defining data architecture standards.
Ideal Candidate The ideal candidate will be a hands-on technical person who can design end-to-end Databricks solutions, guide engineering teams, and deliver scalable data platforms using modern cloud and lakehouse technologies.
How this job compares
Set against the 6,562 open Data Engineer jobs on Olive Jobs, counted November 14, 2026.
- Pay
- This postingNot listed
- Michigan median$116–205K/yr87 salary ranges
- US median$60–71/hr262 hourly ranges
- Openings
- Olive Jobs lists 109 open Data Engineer jobs in Michigan and 6,562 across the US. 8% of them nationwide are listed as remote or flexible.
- Hiring the most in Michigan
- Deloitte26 open
- General Motors11 open
- PwC11 open
- Experience
- Data Engineer postings that state a minimum ask for 5 years of experience at the median; the middle half ask for 3 to 7 years (5,807 postings).
- Education
- 2,584 of the 6,562 open Data Engineer jobs (39%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 14, 2026. Figures based on too few postings are left out.
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