Technical Program Manager, Professional Services
Databricks3 months ago
Gardena, CA, USAMid Level / Senior
H1B sponsor
Responsibilities
- Design, architect, develop, deploy, operationalize, and document customer data engineering, data science, cloud, big data, and AI solutions.
- Create reference architectures, how-to guides, reusable project artifacts, and productionized customer use cases.
- Guide strategic customers through transformational big data projects, third-party migrations, and end-to-end application implementation.
- Facilitate technical workshops, discovery and design sessions, requirements gathering, and scoping for strategic customers.
- Work with engagement managers and project managers on professional services scope, estimates, timelines, proposals, statements of work, and risk mitigation.
- Integrate Databricks solutions with customer systems and provide training, knowledge transfer, enablement, and mentoring.
- Provide escalated support for customer operational issues and help resolve engagement-specific product and implementation issues with Engineering and Customer Support.
- Ensure Databricks best practices and quality standards are followed throughout customer projects.
- Provide technical leadership and client-engagement best practices to the consulting team and other teams.
Requirements
- 4+ years of experience in data engineering, data platforms, and analytics for the technical lead-level role; 6+ years for the Resident Solutions Architect level; and 9+ years for the Senior Resident Solutions Architect level.
- Comfort writing code in Python or Scala, including object-oriented and functional programming.
- Working knowledge of at least two cloud ecosystems among AWS, Azure, and GCP, with expertise in at least one for some levels.
- Deep or strong experience with distributed computing and Apache Spark, including Spark runtime internals for higher levels.
- Experience designing and deploying scalable, performant end-to-end data architectures and cloud-native streaming and batch solutions.
- Familiarity with CI/CD for production deployments and working knowledge of MLOps for some levels.
- Experience with technical project delivery, including managing scope, timelines, effort estimation, and risk.
- Strong documentation, whiteboarding, client engagement, conflict management, and customer workshop skills.
- Databricks Certification is required or preferred depending on level.
- Ability to travel to customers 20% of the time.
Benefits
- Comprehensive benefits and perks, with region-specific details available through the company.
- The role requires travel to customers 20% of the time.
Tech Stack
Categories
Data EngineeringSolutions Engineering
About Databricks
Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.