Senior Solutions Engineer (Data Engineering)

TL;DR

Senior Solutions Engineer (Data Engineering): Building and demonstrating customized technical solutions on the Databricks Data Intelligence Platform with an accent on Spark programming, cloud ecosystem integration, and architectural advisory. Focus on solving complex data challenges, identifying customer pain points, and delivering compelling technical propositions to drive business value.

Location: Stockholm, Sweden

Company

Databricks is the data and AI company that provides a unified platform for data, analytics, and AI, founded by the creators of Apache Spark, Delta Lake, and MLflow.

What you will do

• Form successful relationships with clients to provide technical and business value.
• Conduct hands-on evaluations and Spark programming integrated with cloud ecosystems.
• Act as a Big Data Analytics advisor regarding architecture and design.
• Author reference architectures, how-tos, and demo applications.
• Contribute to the technical community through workshops, seminars, and meet-ups.
• Collaborate with Account Executives and Solutions Architects to solve complex customer challenges.

Requirements

• Experience in a client-facing role creating narratives and identifying pain points.
• Ability to independently deliver technical propositions and business value outcomes.
• Strong coding skills in Python.
• Knowledgeable in Big Data Analytics with exposure to proofs-of-concept.
• Understanding of major public cloud platforms.
• Experience in solution architecture and data engineering.

Culture & Benefits

• Comprehensive benefits and perks tailored to your region.
• Collaborative, customer-focused team valuing innovation and creativity.
• Mission-driven environment fostering continuous improvement and data democratization.
• Commitment to a diverse and inclusive workplace.