Sr. Solutions Engineer
Databricks2 months ago
Munich, GermanySenior
Responsibilities
- Build successful client relationships across an assigned territory in collaboration with an Account Executive and Senior Solutions Architect.
- Generate client enthusiasm 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 capabilities toward becoming an independently operating Solutions Architect.
Requirements
- Experience working with clients, presenting narratives, answering customer questions, aligning agendas with customer interests, and achieving tangible outcomes.
- Ability to independently deliver technical propositions, identify customer pain points, and explain business value.
- Ability to code in a core programming language such as Python.
- Knowledge of a Big Data Analytics domain, including exposure to advanced proofs of concept and a major public cloud platform.
- Experience with solution architecture and Data Engineering.
Benefits
- Comprehensive employee benefits and perks, with region-specific details available.
- Customer-facing role involving workshops, seminars, and meet-ups.
Tech Stack
Categories
Solutions Engineering
About Databricks
Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.