Data Platform Solutions Architect (Professional Services) in London

We’re hiring for multiple roles within our Professional Services team. Depending on experience and scope, this position may be offered as Senior Solutions Consultant, Resident Solutions Architect, or Senior Resident Solutions Architect. The title may also be called Big Data Solutions Architect, Analytics Architect, Data Platform Architect, or Technical Consultant, based on experience, technical depth, and customer‑facing ownership.

Responsibilities

• You will work on a variety of impactful customer technical projects, including designing and building reference architectures, creating how‑to’s, and productionalizing customer use cases.
• You will work with engagement managers to scope professional services work with input from the customer.
• You will guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end‑to‑end design, build, and deployment of industry‑leading big data and AI applications.
• You will consult on architecture and design; bootstrap or implement customer projects which leads to a customers’ successful understanding, evaluation, and adoption of Databricks.
• You will provide escalated support for customer operational issues.
• You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer needs.
• You will work with Engineering and Databricks Customer Support to provide product and implementation feedback and guide rapid resolution for engagement‑specific product and support issues.

Qualifications

• Extensive experience in data engineering, data platforms & analytics.
• Comfortable writing code in either Python or Scala.
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with 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.
• Design and deployment of performant end‑to‑end data architectures.
• Experience with technical project delivery – managing scope and timelines.
• Documentation and white‑boarding skills.
• Experience working with clients and managing conflicts.
• Build skills in technical areas that support the deployment and integration of Databricks‑based solutions to complete customer projects.
• Travel to customers 10% of the time.
• Databricks Certification is preferred but not essential.

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all employees.

Our Commitment to Diversity and Inclusion

We are committed to fostering a diverse and inclusive culture where everyone can excel. Our hiring practices are inclusive and meet equal employment opportunity standards. We consider applicants without regard to age, colour, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socioeconomic status, veteran status, and other protected characteristics.

Compliance

If access to export‑controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.