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 strategic customers through the end-to-end design, build, and deployment of big data and AI applications.
- Advise customers on architecture and design and bootstrap or implement projects that support Databricks evaluation and adoption.
- Own architecture and design decisions to ensure solutions are secure, scalable, and aligned with customer needs and Databricks best practices.
- Coordinate with Databricks technical teams, project managers, architects, and customer teams to deliver engagement components.
- Collaborate with Engineering and Customer Support to provide product and implementation feedback and resolve engagement-specific issues.
- Embed with customer teams and engage stakeholders ranging from technical individual contributors to executives.
- Create 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.
- Proficiency in at least one of Python, Scala, JavaScript, or TypeScript, along with modern frameworks.
- Working knowledge of at least two cloud ecosystems among AWS, Azure, and GCP, with expertise in at least one.
- Deep experience with distributed computing using Apache Spark and knowledge of Spark runtime internals.
- Familiarity with CI/CD for production deployments and working knowledge of MLOps, ML/AI models, and AI APIs.
- Experience designing and deploying performant production end-to-end 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.
- Strong documentation and whiteboarding skills.
- Experience working with enterprise clients and managing conflicts across diverse stakeholder groups.
- Databricks Certification is required.
- Curiosity, adaptability, and eagerness to learn technologies supporting Databricks-based solution deployment and integration.
- Ability to travel to customers approximately 20% of the time.
Benefits
- Comprehensive employee benefits and perks, with details varying by region
- 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.