CSQ125R35

Mission:

As a Sr. Solutions Consultant in our Professional Services team, you will work with customers on short to medium term customer engagements on their big data challenges using the Databricks platform. You will be in a customer-facing role that requires deep hands-on expertise in Apache Spark™ and data engineering, along with a variety of knowledge of the big data ecosystem. You will guide our largest customers, implementing pipelines from data engineering through model building and deployment, plus other technical tasks to help customers to get value out of their data with Databricks. You will report to the regional Manager/Lead.

The impact you will have:

Guide customers as they implement transformational big data projects, including end-to-end development and deployment of industry-leading big data and AI applications
Assure that Databricks best practices are being used within all projects and that our quality of service and implementation is strictly followed
Facilitate technical workshops, discovery and design sessions, customer requirements gathering and scoping for new and existing strategic customers
Assist the Professional Services leader and project managers with level of effort estimation and mitigation of risk within customer proposals and statements of work
Architect, design, develop, deploy, operationalize and document complex customer engagements individually or as part of an extended team as the technical lead and overall authority
Knowledge transfer, enablement and mentoring of other team members, customers and partners, including developing reusable project artifacts
Provide experience to the consulting team, provide best practices in client engagement to other teams

What we look for:

4+ years 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)
Experience in building scalable streaming and batch solutions using cloud-native components
Strong knowledge of distributed computing with Spark
Ability to travel up to 30% when needed

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.

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.

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