Databricks Architect Job Description
Experience: 15+ Years
Location: Remote / Hybrid
Job Type: Contract / Full-Time
Job Summary:
We are looking for a Senior Databricks Architect with 15+ years of experience in data engineering, data architecture, and cloud technologies. The candidate will design and lead scalable data platforms using Databricks, Spark, and cloud technologies.
Key Responsibilities:
Design and implement enterprise-level Databricks data architecture.
Develop scalable data pipelines using Databricks, Apache Spark, and PySpark.
Design Lakehouse architecture using Delta Lake.
Work with Azure/AWS/Google Cloud Platform cloud data platforms.
Design data ingestion, ETL/ELT, and data integration solutions.
Implement Unity Catalog, security, governance, and access controls.
Optimize Databricks workloads, Spark jobs, and cluster performance.
Define data modeling, data warehousing, and data lake strategies.
Work with business and technical teams to define architecture and solutions.
Provide technical leadership and mentor data engineering teams.
Ensure solutions meet performance, scalability, security, and reliability requirements.
Required Skills:
15+ years of experience in Data Engineering / Data Architecture.
Strong hands-on experience with Databricks.
Excellent knowledge of Apache Spark / PySpark.
Strong experience with Delta Lake and Lakehouse architecture.
Experience with Azure, AWS, or Google Cloud Platform.
Strong SQL and data modeling skills.
Experience with ETL/ELT tools and data integration.
Knowledge of Unity Catalog, data governance, and security.
Experience designing large-scale enterprise data platforms.
Strong communication, architecture, and leadership skills.
