Skip to content
← Back to job listings

Databricks Solution Architect-Databricks Champion

jobgether · Sweden

RemoteImported listingfull-time13 days ago

About The Role

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Databricks Solution Architect-Databricks Champion based in Sweden.

This is a remote opportunity to shape enterprise-scale data, cloud, and AI transformation initiatives for leading <organizations.You> will design and implement modern lakehouse architectures while solving complex data engineering and analytics challenges.The role combines deep hands-on expertise with strategic architecture and direct client <engagement.You>’ll work across Databricks, Azure, and GCP to build scalable, governed, and production-ready data platforms.The position offers exposure to sophisticated enterprise environments and high-impact transformation <programs.You>’ll collaborate with technical and business stakeholders to translate requirements into practical, future-ready solutions.This is an ideal role for a Databricks specialist who enjoys architecture, delivery, and helping clients unlock the value of modern data platforms.

Accountabilities

  • Design and implement enterprise-grade data and lakehouse architectures using Databricks across complex transformation initiatives.
  • Develop scalable data solutions leveraging Databricks, Azure, GCP, Apache Spark, PySpark, and SQL.
  • Provide hands-on technical leadership throughout architecture, implementation, deployment, and optimization phases.
  • Establish effective data governance and security practices using capabilities such as Unity Catalog.
  • Partner directly with enterprise clients to understand business and technical requirements and translate them into robust architectural solutions.
  • Advise stakeholders on cloud, data, analytics, and AI transformation strategies while ensuring solutions are scalable, reliable, and maintainable.
  • Support infrastructure automation and deployment practices through Terraform and CI/CD pipelines.
  • Apply strong knowledge of Databricks best practices and delivery methodologies to accelerate successful client outcomes.
  • Contribute to solution design, technical documentation, implementation planning, and architectural decision-making across projects.

Requirements

  • 3–8 years of relevant professional experience in data engineering, cloud architecture, analytics consulting, or a closely related technology discipline.
  • Strong hands-on expertise with Databricks, Azure, and GCP, with demonstrated ability to design and implement enterprise data platforms.
  • Databricks Champion status or equivalent demonstrated Databricks expertise is mandatory.
  • Experience with enterprise data architecture, lakehouse architecture, and large-scale implementation projects.
  • Strong knowledge of Apache Spark, PySpark, SQL, Unity Catalog, data governance, and modern data platform practices.
  • Strong client-facing and communication skills, with the ability to explain complex technical concepts to both technical and business stakeholders.
  • Exposure to Terraform, infrastructure-as-code, CI/CD, and automated deployment practices.
  • Experience with the Databricks Professional Services Delivery Provider Program (DPP) is preferred.
  • Strong analytical and problem-solving capabilities, with the ability to work independently and manage complex technical challenges.
  • A collaborative, consultative mindset and the ability to operate effectively in fast-paced enterprise environments.
  • Candidates with a notice period of 30 days or less are preferred, with immediate availability considered an advantage.

Benefits

  • Fully remote position: Work remotely while contributing to enterprise data, cloud, and AI transformation projects.
  • High-impact consulting environment: Gain exposure to complex technology initiatives and enterprise-scale client challenges.
  • Modern technology stack: Work extensively with Databricks, Azure, GCP, Spark/PySpark, SQL, Unity Catalog, Terraform, and CI/CD technologies.
  • Architecture ownership: Take a leading role in designing scalable lakehouse and data platform solutions.
  • Client-facing exposure: Partner directly with enterprise stakeholders and influence strategic technology decisions.
  • Professional growth: Expand your expertise across modern data, cloud, analytics, and AI transformation.
  • Fast-growing environment: Join a consulting organization operating across a rapidly evolving technology landscape.

This is an external listing. JobSpring does not represent or verify the employer. Report this listing