At a Glance
- Tasks: Lead innovative data and AI solutions, shaping architecture and implementation for clients.
- Company: Join Databricks, a leader in data and AI technology with a collaborative spirit.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Engage with diverse teams and enjoy excellent career advancement opportunities.
- Why this job: Make a real impact by driving transformative projects in a dynamic tech environment.
- Qualifications: Experience in data engineering and proficiency in Python, Scala, or JavaScript.
The predicted salary is between 63000 - 77000 £ per year.
As a Senior Forward Deployed Engineer at Databricks, you drive production-grade data and AI solutions for clients, owning end-to-end architecture and implementation. You work across data engineering, AI, and application development to deliver scalable, secure systems aligned with Databricks best practices. You collaborate with cross-functional teams to shape strategic delivery and provide deep customer empathy to ensure adoption and measurable outcomes. This role combines hands-on engineering with high-impact customer engagement and accelerators that scale across accounts.
Responsibilities
- Lead production solution delivery including reference architectures, data ingestion and ML/AI model integration.
- Own architecture and design decisions to ensure secure, scalable solutions.
- Guide transformational big data projects end-to-end from design to deployment.
- Collaborate with engagement managers and customer teams to scope technical work.
- Embed with customer teams to understand challenges and deliver impact.
- Develop reusable accelerators, frameworks, and best practices for scale across accounts.
- Coordinate with Databricks technical teams, project managers, and customer teams to ensure delivery quality.
- Provide feedback to product and support to enable rapid issue resolution for engagements.
Key requirements
- Experience in data engineering, data platforms analytics, or software engineering/full stack development.
- Proficiency in Python, Scala, JavaScript/TypeScript, and modern frameworks.
- Cloud experience with two or more ecosystems (AWS, Azure, GCP) and expertise in at least one.
- Deep experience with Apache Spark and knowledge of Spark runtime internals.
- Familiarity with CI/CD for production deployments.
- Knowledge of MLOps, ML/AI models and AI APIs.
- Track record of designing and deploying end-to-end data architectures combining data pipelines, ML/AI models, and user interfaces.
- Experience delivering technical projects with scope, timelines, and measurable outcomes; strong documentation and white-boarding skills.
- Experience with enterprise clients and stakeholder management; travel ~20%.
- Databricks certification an advantage.
- Customer empathy.
- Adaptability and curiosity.
- Cross-functional collaboration.
- Python.
- Scala.
- JavaScript/TypeScript.
Senior Forward Deployed Engineer (Technical Data Architect) employer: DataBricks
At Databricks, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through continuous learning opportunities and the chance to tackle complex challenges in data and AI, all while working in a supportive environment that values diversity and inclusion. Located in a vibrant tech hub, we provide our team with access to cutting-edge resources and a network of industry leaders, making it an ideal place for those seeking meaningful and rewarding careers.
