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.