Sr. Forward Deployed Engineer - Financial Services
Databricks3 months ago
Base Salary
$181k - $248k/yr
Responsibilities
- Lead customer technical projects by delivering production-grade systems, reference architectures, custom applications, data ingestion, and ML/AI model integrations.
- Guide end-to-end design, build, and deployment of big 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.
- Embed with customer teams, engage stakeholders from technical individual contributors through executives, and drive measurable outcomes.
- Collaborate with engagement managers, project managers, architects, Databricks engineering, customer support, and customer teams to deliver technical components.
- Train and guide customers on architecture, design, implementation, evaluation, and adoption of Databricks solutions.
- Provide product and implementation feedback and help resolve engagement-specific product and support issues.
- Contribute 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.
- Ability to write code in Python, Scala, JavaScript, or TypeScript and use modern frameworks.
- Working knowledge of at least two 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 data architectures and applications combining data pipelines, ML/AI models, and user-facing interfaces.
- Experience delivering technical projects, including managing scope and timelines and translating complex concepts into actionable solutions.
- Documentation and white-boarding skills.
- Experience working with enterprise clients and managing conflicts across broad stakeholder groups.
- Databricks Certification.
- Ability to explore technologies supporting deployment and integration of Databricks-based solutions.
- Approximately 20% travel to customers.
Benefits
- Comprehensive employee benefits and perks, with region-specific details available.
- Travel to customers approximately 20% of the time.
Tech Stack
Categories
Data EngineeringForward 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.