At a Glance
- Tasks: Lead the delivery of data and AI solutions using the Databricks platform.
- Company: Join a forward-thinking tech company focused on innovation and collaboration.
- Benefits: Competitive pay, flexible work options, and opportunities for professional growth.
- Other info: Dynamic role with travel opportunities and a chance to influence product development.
- Why this job: Make a real impact by shaping cutting-edge data architectures and applications.
- Qualifications: Experience in data engineering and proficiency in Python, Scala, or JavaScript.
The predicted salary is between 72000 - 88000 £ per year.
In this role you will lead the delivery of production-grade data and AI solutions for customers using the Databricks platform. You will own architecture, steer design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. You will work cross-functionally with engineering, product, and customer teams to drive strategic initiatives and deliver measurable value. The opportunity combines hands-on technical work with high-impact customer collaboration to shape deployments and product feedback.
Pay / Benefits
- Lead technical projects delivering production-grade data & AI solutions and reference architectures
- Guide strategic customers through end-to-end design, build, and deployment of big data and AI applications
- Own architecture decisions ensuring security, scalability, and alignment with Databricks best practices
- Collaborate with engineering, PM, architects, and customer teams to meet engagement goals
- Provide product and implementation feedback and support rapid issue resolution with support teams
- Embed with customer teams to understand challenges across stakeholders and drive impact
- Create accelerators, frameworks, and best practices to scale impact across accounts and influence product roadmap
Tasks
- Extensive experience in data engineering, data platforms & analytics or software engineering
- Proficiency in Python, Scala, JavaScript/TypeScript, and modern frameworks
- Experience with two or more cloud ecosystems (AWS, Azure, GCP) and expertise in at least one
- Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals
- Familiarity with CI/CD for production deployments
- Working knowledge of MLOps, ML/AI models and AI APIs
- Design and deployment of production end-to-end data architectures and applications
- Experience with technical project delivery including scope, timelines, and measurable outcomes
- Documentation and whiteboarding skills
- Enterprise client experience and stakeholder management
- Curiosity and adaptability to explore new technologies and deployment/integration challenges
- Travel to customers 20%
- Databricks Certification
Sr. Forward Deployed Engineer - Architect - Full Stack employer: Databricks Inc.
At Databricks, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. Our commitment to employee growth is evident through comprehensive benefits, inclusive practices, and opportunities to engage with cutting-edge technology while working closely with industry-leading clients. Join us to make a meaningful impact in the data and AI landscape, where your contributions will be valued and recognised.
