Databricks Developer

Tech Lead, Databricks
Engineering Full-Time
Remote
About the Role
We are looking for an experienced Databricks Tech Lead 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.
  What We Offer

• A fully remote position with the flexibility to do your best work plus meaningful on-site engagement with customers.

• The opportunity to work on high-visibility data platform initiatives across diverse customer
  environments.

• A collaborative culturethat values technical depth, ownership, and customer impact.

• Competitive compensation, benefits, and support for certifications and continuous
  learning.