Databricks Tech Lead/Architect

Santa Clara, CA, US • Posted 1 day ago • Updated 1 day ago
Contract Corp To Corp
Contract Independent
Contract W2
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Accountability
  • Amazon Web Services
  • Apache Kafka
  • Bridging
  • Customer Facing
  • Data Architecture
  • Data Governance
  • Testing
  • Version Control
  • Relationship Management
  • Professional Services
  • Good Clinical Practice
  • Microsoft Azure
  • Git

Summary

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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10200946b
  • Position Id: 8953960
  • Posted 1 day ago
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