Data Platform Solutions Architect

Data Platform Solutions Architect at Databricks

We are hiring for a Data Platform Solutions Architect within our Professional Services team at Databricks. This role involves working with clients on short to medium-term engagements to address their big data challenges using the Databricks platform. You will be instrumental in delivering data engineering, data science, and cloud technology projects, integrating with client systems, providing training, and performing other technical tasks to maximize customer value from their data. This position may be offered as Senior Solutions Consultant, Resident Solutions Architect, or Senior Resident Solutions Architect, depending on your experience and scope.

You will report to the regional Manager/Lead.

The Impact You Will Have

• Work on a variety of impactful customer technical projects, including designing and building reference architectures, creating how-to's, and productionizing customer use cases.
• Collaborate with engagement managers to scope professional services work, incorporating customer input.
• Guide strategic customers in implementing transformational big data projects and 3rd party migrations, covering 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 to facilitate successful understanding, evaluation, and adoption of Databricks.
• Provide an escalated level of support for customer operational issues.
• Work with the Databricks technical team, Project Manager, Architect, and Customer team to ensure technical components of the engagement meet customer needs.
• Collaborate with Engineering and Databricks Customer Support to provide product and implementation feedback and guide rapid resolution for engagement-specific product and support issues.

What We Look For

• 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.
• Ability to build skills in technical areas that support the deployment and integration of Databricks-based solutions to complete customer projects.
• Ability to travel to customers 10% of the time.
• [Preferred] Databricks Certification but not essential.

About 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. To learn more, follow Databricks on Twitter, LinkedIn, and Facebook.

Benefits

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

Our Commitment to Diversity and Inclusion

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 and mental ability, political affiliation, race, religion, sexual orientation, socio-economic 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.

Key skills/competency

• Data Engineering
• Cloud Architecture
• Apache Spark
• Python/Scala
• Data Platforms
• MLOps
• CI/CD
• Client Consulting
• Solution Design
• Technical Project Delivery