Big Data Solutions Architect (Professional Services)

Join to apply for the Solutions Architect (Professional Services) Spark Expert role at Databricks.

Location: London

REQ ID: CSQ326R394

Role Overview: In our Professional Services team you will work with clients on short to medium-term engagements to address their big‑data challenges using the Databricks platform. You will provide data engineering, data science, and cloud‑technology projects that require integration with client systems, training, and other technical tasks to help customers extract maximum value from their data. RSAs are billable and must complete projects according to specifications while maintaining excellent customer service. You will report to the regional Manager/Lead.

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

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• 4+ years experience in data engineering, data platforms & analytics; 6+ or 9+ years for senior or expert roles.
  
• 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.
  
• Skills in deploying and integrating Databricks‑based solutions to complete customer projects.
  
• Travel to customers 30% of the time.
  
• Databricks Certification.
  

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.

Databricks is the data and AI company. More than 10,000 organizations worldwide—including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500—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.

Mid‑Senior level

Full‑time

Engineering and Information Technology

Software Development

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

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical or mental ability, political affiliation, race, religion, sexual orientation, socio‑economic status, veteran status, and other protected characteristics.