
Databricks Solution Architect-Databricks Champion
jobgether · Sweden
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.
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