# Technical Program Manager, Professional Services

**Company:** [Databricks](https://hotfix.jobs/companies/databricks)
**Location:** Remote
**Role:** Solutions Architecture
**Experience:** 9+ years
**Skills:** Python, Scala, AWS, Azure, GCP, Spark, CI/CD, MLOps, Data Engineering, Data Architecture
**Posted:** 2026-06-25

> Work with clients on short to medium term engagements solving big data challenges using Databricks. Provide data engineering, data science, and cloud technology projects requiring integration with client systems.

## Job Description

## Responsibilities
- Work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform
- Provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks
- Design and build reference architectures, create how-to's and productionalize customer use cases
- Work with engagement managers to scope professional services work with input from the customer
- Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
- Consult on architecture and design; bootstrap or implement customer projects
- Provide an escalated level of support for customer operational issues
- Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered
- Work with Engineering and Databricks Customer Support to provide product and implementation feedback
- Guide customers as they implement transformational big data projects, including end-to-end development and deployment of industry-leading big data and AI applications
- Assure that Databricks best practices are being used within all projects
- Facilitate technical workshops, discovery and design sessions, customer requirements gathering and scoping
- Assist with level of effort estimation and mitigation of risk within customer proposals and statements of work
- Architect, design, develop, deploy, operationalize and document complex customer engagements as the technical lead
- Provide knowledge transfer, enablement and mentoring of other team members, customers and partners

## Requirements
- 4+ to 9+ years experience in data engineering, data platforms & analytics (depending on level)
- Comfortable writing code in either Python or Scala
- Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
- Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
- Familiarity with CI/CD for production deployments
- Working knowledge of MLOps
- Design and deployment of performant end-to-end data architectures
- Experience with technical project delivery - managing scope and timelines
- Documentation and white-boarding skills
- Experience working with clients and managing conflicts
- Comfort with object-oriented and functional programming in Scala and Python
- Experience in building scalable streaming and batch solutions using cloud-native components
- Strong knowledge of distributed computing with Apache Spark™
- Travel to customers 20% of the time

## Nice to Haves
- Databricks Certification

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