Sr. Forward Deployed Engineer - Public Sector
Databricks10 days ago
Base Salary
$182k - $250k/yr
Responsibilities
- Lead customer technical projects by designing and delivering production-grade systems, reference architectures, custom applications, data ingestion, and ML/AI integrations.
- Guide end-to-end design, build, deployment, adoption, and evaluation of data and AI applications for strategic customers.
- Own architecture and design decisions to ensure solutions are secure, scalable, and aligned with customer needs and Databricks best practices.
- Implement and deliver technical components in collaboration with Databricks technical teams, project managers, architects, and customer teams.
- Embed with customer stakeholders from technical individual contributors through executives to understand challenges and deliver measurable impact.
- Provide customer guidance, training, implementation support, documentation, and technical feedback.
- Collaborate with engineering and customer support teams to resolve engagement-specific product and implementation issues.
- Develop reusable accelerators, frameworks, and best practices that scale across accounts and influence the Databricks product roadmap.
Requirements
- 6+ years of experience in data engineering, data platforms and analytics, or software engineering.
- Fluency writing code in Python, Scala, JavaScript/TypeScript, and modern frameworks.
- Working knowledge of at least two major cloud ecosystems—AWS, Azure, or GCP—with expertise in at least one.
- Deep experience with distributed computing using Apache Spark and knowledge of Spark runtime internals.
- Working knowledge of MLOps, ML/AI models, and AI APIs.
- Experience designing and deploying performant, production-grade end-to-end data architectures and applications combining data pipelines, ML/AI models, and user-facing interfaces.
- Experience with technical project delivery, documentation, and whiteboarding.
- Experience working with enterprise clients and managing conflicts across broad stakeholder groups.
- Databricks Certification is preferred.
- Additional expertise in MLOps, ML/AI models, and AI APIs is preferred.
Benefits
- Hybrid work arrangement with travel to customer locations 20–25% of the time.
- Comprehensive benefits and perks are offered, with details varying by region.
- The total compensation package may include an annual performance bonus and equity.
Tech Stack
Categories
Forward Deployed
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.