Senior Databricks Architect
Location
United States
Posted
7 hours ago
Salary
0
Seniority
Senior
Job Description
Senior Databricks Architect
qode.world
• Architect and implement end-to-end data solutions using Databricks Lakehouse Platform • Design and develop scalable data pipelines using PySpark, Spark, and SQL • Lead cloud data platform implementations on AWS/Azure/GCP • Drive modernization of legacy data systems to cloud-native architectures • Implement Medallion Architecture (Bronze, Silver, Gold layers) • Ensure data governance, security, and compliance (especially for Financial Services) • Collaborate with business stakeholders, data scientists, and engineering teams • Optimize performance, cost, and reliability of data pipelines • Mentor and guide data engineering teams and provide architectural leadership.
Job Requirements
- 12+ years of experience in Data Engineering / Data Architecture
- Strong expertise in Databricks, PySpark, and Spark ecosystem
- Hands-on experience with cloud platforms (Azure, AWS, or GCP)
- Experience with data orchestration tools (Airflow, ADF, etc.)
- Solid understanding of data modeling, ETL/ELT, and distributed systems
- Experience with Delta Lake and Unity Catalog is a plus
- Strong knowledge of Financial Services domain (Banking, Insurance, Capital Markets)
- Excellent problem-solving and stakeholder management skills.
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