Solutions Architect - Nordics Fungible
Databricks2 months ago
Stockholm, SwedenSenior
Responsibilities
- Lead time-boxed, targeted customer engagements across Benelux and the Nordics.
- Own technical strategy, architecture discussions, whiteboarding, design reviews, and trade-off decisions with senior customer stakeholders.
- Design and demonstrate production-grade solutions across data engineering, ML/AI, real-time analytics, scalable pipelines, streaming, and lakehouse patterns.
- Build, debug, and demonstrate working solutions in Python and SQL.
- Drive Databricks platform adoption and technical wins in strategic and competitive opportunities.
- Transition engagement progress to core solutions architects, data and solutions architects, specialists, or partners.
- Share reusable engagement patterns, plays, and product feedback with the broader organization.
Requirements
- Typically approximately six or more years of experience in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role, or equivalent demonstrated depth.
- Hands-on coding ability in Python and SQL, including building, debugging, and live demonstration of solutions.
- Experience with distributed data systems, production cloud deployments, scalable pipelines, streaming, lakehouse patterns, and related infrastructure, security, and governance.
- Proficiency with the Databricks Platform or the ability to ramp quickly on new technologies.
- Ability to lead architecture discussions with senior technical stakeholders, provide recommendations, analyze trade-offs, and translate technical architecture into business value.
- Comfort with ambiguity, time-boxed engagements, strong prioritization, adaptability, and a preference for varied high-impact work.
- Databricks Data Engineer, ML, or Platform certifications are a plus.
- Familiarity with Snowflake, AWS native services, and Azure Synapse is a plus.
- Experience in a data/AI company or cloud provider and depth in an industry vertical are beneficial.
Benefits
- Comprehensive benefits and perks are offered, with details varying by region.
- The role is listed as hybrid.
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.