Databricks
Sr. Solutions Consultant – Data Engineering
Job Description
CSQ125R80
This position can be remote.
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
Benefits
- Medical, Dental, and Vision
- 401(k) Plan
- FSA, HSA and Commuter Benefit Plans
- Equity Awards
- Flexible Time Off
- Paid Parental Leave
- Family Planning
- Fitness Reimbursement
- Annual Career Development Fund
- Home Office/Work Headphones Reimbursement
- Employee Assistance Program (EAP)
- Business Travel Accident Insurance
- Mental Wellness Resources
Pay Range Transparency
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
EWJP2
