Databricks Solution Architect

🕒 July 2

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EXL

WebsiteLinkedInAll Job Openings

10,000+ employees

🏥 Healthcare

🛡️ Insurance

📦 Logistics

💰 $2M Venture Round on 2015-01

Healthcare • Insurance • Logistics

EXL is a business consulting and services firm that focuses on leveraging data to enhance business operations and decision-making. With a strong emphasis on collaboration and adaptability, EXL partners with organizations to address their unique needs and culture while integrating data science and technology solutions. The company's areas of expertise include operations management, decision analytics, digital transformation, and various industries such as healthcare, finance, and insurance. EXL's mission is to help clients drive business evolution and maintain competitive advantage through tailored solutions and effective use of data.

📋 Description

• 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)

🎯 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