Sr. Solutions Engineer
Databricks3 months ago
Stockholm, SwedenSenior
Responsibilities
- Build successful client relationships throughout the assigned territory in collaboration with an Account Executive and Senior Solutions Architect.
- Conduct hands-on customer evaluations using Spark programming and integrations with cloud ecosystems and third-party applications.
- Engage customers and the technical community through workshops, seminars, and meet-ups.
- Advise customers on Big Data Analytics architecture and design.
- Author reference architectures, how-to materials, and demo applications.
- Develop technical and pre-sales capabilities toward independently operating as a Solutions Architect.
Requirements
- Familiarity working with clients, creating narratives, answering customer questions, aligning agendas with important interests, and achieving tangible outcomes.
- Ability to independently deliver technical propositions, identify customer pain points, explain business value, and develop trusted-advisor relationships.
- Ability to code in a core programming language such as Python.
- Knowledge of a core Big Data Analytics domain, including exposure to advanced proofs-of-concept.
- Understanding of a major public cloud platform.
- Experience with solution architecture and Data Engineering.
Benefits
- Comprehensive benefits and perks are offered, with details varying by region.
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.