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Databricks Solution Architect
Location
United States
Posted
15 days ago
Salary
0
Seniority
Lead
Job Description
Databricks Solution Architect
EXL
• Lead the design and implementation of scalable, secure, and high-performance data architecture on Databricks • Define end-to-end data pipelines (ingestion, transformation, serving) using Spark and Delta Lake • Drive migration and modernization initiatives from legacy platforms to Databricks • Establish best practices for data engineering, performance optimization, and cost management • Design and implement data governance, security, and compliance frameworks • Collaborate with business stakeholders, data scientists, and engineering teams to translate requirements into technical solutions • Provide technical leadership, mentorship, and guidance to development teams • Ensure data quality, reconciliation, and reliability across data workflows • Integrate Databricks with enterprise tools (e.g., MuleSoft, Alteryx, BI/reporting platforms) • Stay current with Databricks innovations and recommend adoption of new capabilities (e.g., ML, AI, DBSQL, Unity Catalog)
Job Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
- 9-12+ years of experience in data engineering, data architecture, or analytics platforms
- Strong hands-on expertise with Databricks, Apache Spark, and Delta Lake
- Experience with cloud platforms such as Azure (preferred), AWS, or GCP
- Proven experience designing and implementing scalable data pipelines and architectures
- Strong knowledge of SQL, Python, and/or Scala
- Experience with data integration tools (e.g., MuleSoft, Alteryx) and modern data ecosystems
- Familiarity with data governance, security frameworks, and compliance best practices
- Experience with performance tuning, optimization, and cost management in Databricks
- Strong problem-solving skills and ability to work in a cross-functional, collaborative environment
- Excellent communication and stakeholder management skills
- Exposure to AI/ML use cases, Databricks SQL, and Unity Catalog is a plus
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