Databricks Solution Architect

Posted Yesterday
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Hiring Remotely in United States
Remote
Expert/Leader
Information Technology • Database • Consulting
The Role
Lead design and implementation of scalable Databricks data platforms and end-to-end data pipelines using Spark and Delta Lake. Drive migrations from legacy systems, enforce governance/security, optimize performance and costs, and collaborate with stakeholders and data science teams to enable analytics and AI/ML use cases.
Summary Generated by Built In
We are seeking an experienced Databricks Architect to lead the design and implementation of scalable data platforms on Databricks. The role will drive end-to-end architecture, including data ingestion, transformation, optimization, and governance, while enabling advanced analytics and AI/ML use cases. The ideal candidate will have strong expertise in Spark, Delta Lake, cloud platforms (Azure/AWS), and modern data engineering practices, along with the ability to collaborate with business and technology stakeholders to deliver high-impact solutions.
Responsibilities
  • 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)
Qualifications
  • 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

Skills Required

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field
  • 9+ years of experience in data engineering, data architecture, or analytics platforms
  • Hands-on expertise with Databricks, Apache Spark, and Delta Lake
  • Experience with cloud platforms (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)
  • Familiarity with data governance, security, and compliance frameworks
  • Experience with performance tuning, optimization, and cost management in Databricks
  • Strong communication, stakeholder management, and leadership/mentorship skills
  • Exposure to AI/ML use cases, Databricks SQL, and Unity Catalog
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The Company
HQ: New York, NY
30,246 Employees
Year Founded: 1999

What We Do

Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.

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