
Job Overview
Location
Remote - Denmark; Stockholm, Sweden
Job Type
Full-time
Category
Software Engineering
Date Posted
April 21, 2026
Full Job Description
đź“‹ Description
- • The Senior Solutions Architect role at Databricks is a strategic technical leadership position focused on establishing the Databricks Data & AI Platform as the primary solution for new enterprise accounts in the Nordics region. You will serve as a trusted advisor to C-level and business unit leaders, driving technical strategy and long-term commitment in complex, greenfield engagements.
- • Day to day, you will lead technical strategy for strategic customer engagements, assess customer architectures, provide deep technical guidance across data engineering, data warehousing, and GenAI, mentor junior solutions architects, and translate successful implementations into reusable patterns for the broader Databricks community. You will operate in ambiguous, high-paced environments, aligning stakeholders and driving measurable business outcomes beyond proof of concept.
- • You will join the Nordics Hunter team at Databricks, a fast-growing, innovative company that serves over 10,000 organizations globally — including more than 50% of the Fortune 500 — with its Data Intelligence Platform. Databricks was founded by the creators of Apache Spark, Delta Lake, and MLflow, and is committed to unifying data, analytics, and AI at scale.
- • In this role, you will develop executive-level advisory skills, deepen your expertise in enterprise AI and data architecture, influence cross-functional stakeholders at the highest levels, and contribute to Databricks’ market leadership by shaping reusable technical best practices and mentoring the next generation of solutions architects.
Skills & Technologies
About Databricks Inc.
Databricks provides a unified data and AI platform built on Apache Spark. Its lakehouse architecture combines data lakes and warehouses to enable collaborative analytics, machine learning, and real-time processing at scale. The company offers managed cloud services, Delta Lake storage, MLflow for ML lifecycle, and collaborative notebooks. Founded in 2013 by the creators of Spark, Databricks serves enterprises seeking to unify data engineering, data science, and business analytics on a single platform.
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