Databricks

Solutions Architect

Databricks
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3 months ago
Stockholm, SwedenMid Level

Responsibilities

  • Partner with Account Executives to drive technical sales cycles and customer outcomes.
  • Lead customer workshops, discovery sessions, and technical deep-dives across multiple stakeholders.
  • Build and deliver proof-of-concepts, demos, and solution prototypes using real data.
  • Translate business requirements into practical, scalable data and AI solutions.
  • Act as a trusted technical advisor while validating solutions hands-on end to end.
  • Resolve technical challenges with customers and contribute reusable assets, patterns, and best practices that accelerate adoption.

Requirements

  • Experience working with customers in a presales, consulting, or advisory capacity.
  • Ability to communicate complex technical topics to technical and non-technical audiences and connect business goals to technical decisions.
  • Experience with Python or a similar language, distributed data processing, compute, and large-scale datasets.
  • Understanding of data pipelines, modern data architectures, analytics, data science, and machine learning workflows.
  • Understanding of feature pipelines, model training, inference, and how data platforms support AI use cases.
  • Familiarity with cloud platforms and data technologies.
  • Ability to design for scalability, performance, reliability, and data volumes while evaluating architectural trade-offs.
  • Ability to build proof-of-concepts, explore datasets, troubleshoot issues, and adapt code and solutions in practice.

Benefits

  • Comprehensive benefits and perks are offered, with specific details varying by region.

Tech Stack

Apache SparkDatabricksMLflowPython

Categories

Solutions Engineering
Databricks

About Databricks

10,000+ employees

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.

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