Databricks Tech Lead/Architect with AI experience

Role: Databricks Tech Lead/Architect with AI (Copilot /Claude exp is required)

Location: Santa Clara, CA (Onsite)

About the Role

We are looking for an experienced Databricks Tech Lead/Architect to serve as a trusted technical partner for our customers. You will be the face of our engineering capability - embedded with clients, leading delivery, and bridging the gap between business needs and technical execution. This is a hands-on leadership role: you will both guide a distributed team (including offshore engineers) and write real code.

Strong communication and relationship-building skills are just as important as deep Databricks expertise.

What You'll Do

  • Work directly alongside customers as the primary technical point of contact, building trusted relationships and ensuring delivery confidence.
  • Lead the design and implementation of Databricks solutions data pipelines, lakehouse architecture, Delta Live Tables, Workflows, and Unity Catalog.
  • Manage and mentor a distributed engineering team including offshore resources, driving accountability, quality, and team cohesion across time zones.
  • Translate complex customer requirements into clear technical plans, and communicate progress and risks effectively to both technical and business stakeholders.
  • Set and enforce engineering standards code quality, testing, performance optimization, data governance, and security best practices.
  • Provide hands-on technical contributions alongside your team this is not a purely advisory role.
  • Collaborate with internal platform, cloud, and architecture teams to continuously improve the delivery environment.
  • Travel to customer sites as needed to support engagement kickoffs, key milestones, and relationship management.
What You Bring
  • 12 14+ years of hands-on experience in data engineering, data architecture, or a closely related field.
  • Deep expertise in Databricks Delta Lake, PySpark/Scala, Unity Catalog, Delta Live Tables, Databricks Workflows, and MLflow.
  • Proven experience leading engineering teams in a delivery or consulting context, including managing offshore or globally distributed teams.
  • Strong customer-facing skills you are comfortable presenting to stakeholders, navigating ambiguity, and building trust with clients.
  • Solid cloud platform experience (Azure, AWS, or Google Cloud Platform) and familiarity with enterprise data architectures.
  • Proficiency in Python and/or Scala; strong SQL skills required.
  • Experience with CI/CD for data pipelines, version control (Git), and agile delivery practices.
  • Ability and willingness to travel occasionally to customer locations.
Nice to Have
  • Databricks Certified Associate or Professional certification.
  • Experience in a consulting, professional services, or client-embedded engineering role.
  • Familiarity with dbt, Apache Kafka, or event-driven data architectures.
  • Background in financial services, healthcare, or other data-intensive regulated industries
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