Databricks
Sr. Field Technical Program Manager, Forward Deployed Engineering
United States · Senior
Sponsorship not specified$156k-$215kDetected 4 days ago
DatabricksAWSGCPAzureCloud PlatformsMachine LearningSparkData EngineeringData ScienceProject ManagementStakeholder ManagementProcess ImprovementCustomer SuccessLeadershipCommunication
About the role
- The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.
Responsibilities
- Customer Outcomes: Own delivering customer outcomes for approximately five concurrent customer projects, ensuring high customer satisfaction
- Project Planning: Develop detailed technical project plans from finalized proposals or statements of work setting specific milestones, objectives, and key results.
- Project Execution & Risk Management: Drive measurable weekly progress with detailed tracking and by mitigating risks to project objectives, ensuring projects stay on track.
- Technical Knowledge: Leverage and expand your understanding of data platform technologies and processes, such as data lakes, data governance, data quality, ETLs, and migration best practices, to drive customer outcomes faster.
- Process Improvement: Define and implement new processes and operational cadences to improve the efficiency and effectiveness of the Professional Services team.
- Own delivering customer outcomes for approximately five concurrent customer projects, ensuring high customer satisfaction
- Develop detailed technical project plans from finalized proposals or statements of work setting specific milestones, objectives, and key results.
- Drive measurable weekly progress with detailed tracking and by mitigating risks to project objectives, ensuring projects stay on track.
- Define and implement new processes and operational cadences to improve the efficiency and effectiveness of the Professional Services team.
Requirements
- Technical Background: A Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
- Must be comfortable diving deep into technical topics with Solution Architects and Engineers.
- 5+ years of experience in Technical Program Management, preferably in a B2B SaaS, cloud, or data engineering/analytics company.
- A Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
- Hands-on experience with the Data Intelligence Platforms or Data frameworks like Apache Spark™.
- Experience with public cloud provider solutions (AWS, Azure, or GCP).
Nice to have
- Customer-Facing Experience: Prior experience in a customer-facing implementation role (e.g., Technical Project Manager, Solutions Architect, Technical Account Manager, Professional Services, Product Manager).
Skills
- Strong understanding of Agile and other program management methodologies.
- Certifications: PMP, CSM, or related program management certification.
- Databricks/Spark: Hands-on experience with the Data Intelligence Platforms or Data frameworks like Apache Spark™.
- Cloud Platforms: Experience with public cloud provider solutions (AWS, Azure, or GCP).
- GenAI/ML Experience: Experience delivering programs related to AI, Machine Learning, or Generative AI.
- Pay Range Transparency
- Databricks is committed to fair and equitable compensation practices.
- Based on the factors above, Databricks anticipated utilizing the full width of the range.
- For more information regarding which range your location is in visit our page here.
- Zone 1 Pay Range
- $156,000 - $214,500 USD
- Zone 2 Pay Range
Compensation
- Databricks is committed to fair and equitable compensation practices.
- The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.
- Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location.
- The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.
- Zone 1 Pay Range
- $156,000 - $214,500 USD
- Pay Range Transparency
- Zone 2 Pay Range
- $140,400 - $193,050 USD
- Zone 3 Pay Range
- $132,600 - $182,400 USD
- Zone 4 Pay Range
- $124,800 - $171,600 USD
Benefits
- At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.
- For specific details on the benefits offered in your region click here.
- Experience delivering programs related to AI, Machine Learning, or Generative AI.
- The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.
Company info
- At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel.
- Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow.
Equal opportunity
- Our Commitment to Diversity and Inclusion
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This listing is sourced directly from Databricks's careers page and normalized into a canonical job model.