Sr. Forward Deployed Engineer-Retail
Databricks3 months ago
Base Salary
$182k - $250k/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.
- Own architecture and design decisions to ensure solutions are secure, scalable, and aligned with customer needs and Databricks best practices.
- Embed with customer teams and engage stakeholders ranging from technical individual contributors to executives.
- Collaborate with Databricks engineering, product, developer relations, customer support, project managers, architects, and customer teams.
- Provide product and implementation feedback and help resolve engagement-specific product and support issues.
- Create reusable accelerators, frameworks, and best practices that scale impact across customer accounts and influence the Databricks product roadmap.
- Train customers and support their understanding, evaluation, and adoption of Databricks solutions.
Requirements
- 6+ years of experience in data engineering, data platforms and analytics, or software engineering.
- Ability to code in Python, Scala, JavaScript/TypeScript, and modern frameworks.
- Working knowledge of at least two cloud ecosystems, with expertise in one or more of AWS, Azure, or GCP.
- Deep experience with distributed computing using Apache Spark and knowledge of Spark runtime internals.
- Familiarity with CI/CD, MLOps, ML/AI models, and AI APIs for production deployments.
- Experience designing and deploying performant end-to-end data architectures and applications combining data pipelines, ML/AI models, and user-facing interfaces.
- Experience delivering technical projects, managing scope and timelines, and translating complex concepts into actionable solutions.
- Strong documentation and white-boarding skills.
- Experience working with enterprise clients and managing conflicts across broad stakeholder groups.
- Curiosity, adaptability, and willingness to explore technologies supporting Databricks-based solution deployment and integration.
- Databricks Certification.
Benefits
- Comprehensive region-specific employee benefits and perks are offered.
- Travel to customer sites is required 20% of the time.
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.