Overview

Solutions Architect (Professional Services) Spark Expert role at Databricks.

Location: London

We have 9 new open positions based in our London office. As a Solutions Architect in our Professional Services team, you will work with clients on short to medium-term engagements on big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects requiring integration with client systems, training, and other technical tasks to help customers get the most value out of their data. RSAs are billable and complete projects according to specifications with excellent customer service. You will report to the regional Manager/Lead.

Req ID: CSQ326R185

We are looking for someone who can contribute to a variety of customer engagements and help drive successful adoption of Databricks solutions.

Responsibilities

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

Qualifications

• Proficient in data engineering, data platforms, and analytics with a strong track record of successful projects and knowledge of industry best practices.
• Comfortable writing code in Python or Scala.
• Working knowledge of two or moreCloud 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.
• Experience designing and deploying 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 supporting deployment and integration of Databricks-based solutions.
• Travel is required up to 10%, more at peak times.
• Databricks Certification.

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 creators of Lakehouse, Apache Spark, Delta Lake and MLflow.

Benefits

Databricks offers comprehensive benefits and perks. For specific details on the benefits offered in your region, please visit the designated benefits page.

Our Commitment to Diversity and Inclusion

Databricks is committed to fostering a diverse and inclusive culture where everyone can excel. We ensure hiring practices are inclusive and meet equal employment opportunity standards.

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.