Databricks Architect 15 years exp.
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Monthly Salary:
Posted on:
19 hours ago
Vacancies:
1 Vacancy
Job Summary
Role: Databricks Architect
Duration: 12 months
Location: Troy MI- Remote
Minimum exp.- 14-15 yrs.
Role Overview
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
Must-Have Skills
- 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
Good-to-Have
- Unity Catalog MLflow Databricks Workflows
- Streaming experience (Kafka / Event Hubs)
- CI/CD for Databricks (Azure DevOps / GitHub)
Additional Information :
All your information will be kept confidential according to EEO guidelines.
Remote Work :
Yes
Employment Type :
Contract
Key Skills
- APIs
- Pegasystems
- Spring
- SOAP
- .NET
- Hybris
- Solution Architecture
- Service-Oriented Architecture
- Adobe Experience Manager
- J2EE
- Java
- Oracle
