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Databricks Architect/Lead
Job in
Troy, Oakland County, Michigan, 48083, USA
Listed on 2026-02-04
Listing for:
Arrowminds inc
Full Time
position Listed on 2026-02-04
Job specializations:
-
IT/Tech
Data Engineer, Data Science Manager, Cloud Computing, Big Data
Job Description & How to Apply Below
We are looking for a Databricks Architect to design and lead modern Lakehouse data platforms using Databricks. The role focuses on building scalable, high-performance data pipelines and enabling analytics and AI use cases on cloud-native data platforms.
Key Responsibilities- Architect and implement Databricks Lakehouse solutions for large-scale data platforms
- Design and optimize batch & streaming data pipelines using Apache Spark (PySpark/SQL)
- Implement Delta Lake best practices (ACID, schema enforcement, time travel, performance tuning)
- Build and manage Databricks jobs, workflows, notebooks, and clusters
- Enable data governance using Unity Catalog (access control, lineage)
- Integrate Databricks with cloud data services (ADLS / S3, ADF, Synapse, etc.)
- Support analytics, BI, and AI/ML workloads (MLflow exposure is a plus)
- Lead solution design discussions and mentor data engineering teams
- 10 years in data engineering / data architecture
- 5 years of strong hands-on experience with Databricks
- Expert in Apache Spark, PySpark, SQL
- Strong experience with Delta Lake & Lakehouse architecture
- Cloud experience on Azure Databricks / AWS Databricks
- Proven experience in designing high-volume, scalable data pipelines
- Unity Catalog, MLflow, Databricks Workflows
- Streaming experience (Kafka / Event Hubs)
- CI/CD for Databricks (Azure Dev Ops / Git Hub)
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