Senior Solutions Engineer
Databricks9 months ago
Responsibilities
- Build successful client relationships in an assigned territory in collaboration with an Account Executive and Senior Solutions Architect.
- Generate customer excitement through hands-on evaluations, Spark programming, cloud ecosystem integrations, and third-party application integrations.
- Engage in workshops, seminars, and meet-ups to help build the Databricks technical community.
- Advise customers on big data analytics architecture and design.
- Author reference architectures, how-to guides, and demo applications.
- Develop technical and pre-sales skills toward becoming an independently operating Solutions Architect.
Requirements
- Experience working with clients, creating narratives, answering customer questions, aligning agendas with customer interests, and achieving tangible outcomes.
- Ability to independently deliver technical propositions, identify customer pain points, explain business value, and build trusted-advisor relationships.
- Ability to code in a core programming language such as Python or SQL.
- Knowledge of a core big data analytics domain, including exposure to advanced proofs of concept and understanding of a major public cloud platform.
- Experience with solution architecture and data engineering.
Benefits
- Comprehensive benefits and perks; specific offerings vary by region.
Tech Stack
Categories
Solutions Engineering
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and over 60% of the Fortune 500 — rely on Databricks to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified Data Intelligence Platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase and Unity Catalog. --- Databricks applicants Please apply through our official Careers page at databricks.com/company/careers. All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).