Lead the technical strategy for digital sovereignty in Germany, designing data architectures and running proofs of concept for clients.
Posted by employer 2 hours ago
First seen on Joblaze 1 hour ago
Last verified on the company career page 1 hour ago
Not disclosed in this posting: compensation, years of experience, visa sponsorship.
Joblaze summary
In the role of Solutions Architect for Digital Sovereignty at Databricks, the individual will lead the design and implementation of sovereign data and AI architectures for clients in regulated sectors across Germany. Key skills include expertise in cloud infrastructure, data platforms, and a solid understanding of relevant regulations like GDPR and the CLOUD Act. This position is ideal for someone with substantial experience in technical pre-sales or solution architecture, particularly in enterprise environments. The role also involves collaboration with partners and internal teams to enhance Databricks' presence in the sovereignty landscape.
Quick facts
- Is the Solutions Architect – Digital Sovereignty role remote?
- It's hybrid — Databricks expects some on-site time in Munich, Germany.
- Where is the role based?
- Databricks is hiring for this position in Munich, Germany.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Apache Spark, BSI C5, CLOUD Act, DORA, Databricks, GDPR.
- What seniority level is this role?
- Databricks targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Solutions Architect – Digital Sovereignty role at Databricks.
From the original posting
FEQ128R99
Location: Germany (remote or from a Databricks office – anywhere in Germany) Languages: Fluent German and business-level English
At Databricks, we build the platform that makes data and AI usable across an entire organization. More and more of our customers in Germany – public sector, critical infrastructure (KRITIS), financial services, healthcare, defence and industry – need to keep control over where their data lives and who can access it. They want the full power of the Databricks Data Intelligence Platform without giving up data residency, jurisdictional control or the option to switch providers.
As a Solutions Architect for Digital Sovereignty, you are the technical lead for this motion in Germany. You design sovereign data and AI architectures with customers, run proofs of concept end to end, and help our sovereign cloud partners and account teams turn a proven pattern into production workloads.
The impact you will have
- Act as the trusted technical advisor on digital sovereignty for strategic and regulated customers across Germany, from the first conversation with the CIO/CISO through to production.
- Design and validate sovereign reference architectures
- Run complex proofs of concept and pilots – performance, scalability, security and network connectivity tests with different data volumes – and translate the results into clear go/no-go recommendations.
- Work hand in hand with sovereign cloud and storage partners: joint solution design, enablement of partner technical teams, co-selling and joint customer workshops.
- Position Databricks clearly in the sovereignty discussion – CLOUD Act, GDPR, NIS2, DORA, BSI C5, EU Data Act, open formats and exit strategies – and articulate how our open architecture reduces lock-in compared with competing approaches.
- Feed field requirements back to Databricks Product and Engineering, and collaborate with Legal, Security and Compliance on customer questions.
- Build repeatable assets: reference architectures, demos, PoC playbooks, Terraform/automation templates and customer-facing collateral in German and English.
- Build Databricks' visibility on sovereignty in the German market through workshops, meetups, webinars and conference talks.
- Turn customer conversations into working prototypes fast, using AI-assisted development to build demos in hours rather than weeks.
What we look for
- Fluent German and business-level English. Both are used daily with customers, partners and internally.
- Substantial experience in technical pre-sales, solution architecture or consulting, including complex enterprise customer interactions across the full sales lifecycle.
- Hands-on experience with data platforms in at least one major public cloud (Azure, AWS or GCP), ideally including Apache Spark and/or Databricks.
- Solid understanding of cloud infrastructure: networking (private connectivity, VPN, private endpoints), identity and access management, encryption and key management (BYOK/HYOK).
- Experience with object storage and open table formats (S3-compatible storage such as MinIO, Delta Lake, Apache Iceberg) and with secure data sharing patterns.
- Good working knowledge of the regulatory and sovereignty landscape in Germany and the EU (e.g. GDPR, CLOUD Act implications, NIS2, DORA, BSI C5, KRITIS) and the ability to discuss it confidently with CISOs, data protection officers and procurement.
- Ability to drive technical and business conversations with C-level executives, orchestrate cross-functional and partner teams, and influence outcomes toward long-term customer success.
- Hands-on coding ability in Python and SQL; infrastructure-as-code experience (e.g. Terraform) is a plus.
- Daily, fluent use of AI tools in your own work. Coding assistants and agents are part of how you operate, not something you try out occasionally.
- Able to vibe-code a demo: assemble a credible, working prototype for a specific customer problem with AI assistance, and recognize where the output still needs your own judgment.
- Experience working with or for European / sovereign cloud providers, public sector or regulated industries is a strong plus.
- Judgment to prioritize the right use cases and investments, and to navigate a competitive landscape.
- Willingness to travel within Germany for customer and partner meetings.
Why this role
- You will shape a new, strategically important motion for Databricks in Germany and EMEA – building on a proof of concept that has already delivered results.
- You will work at the intersection of data and AI, cloud infrastructure, regulation and partnerships.
- You will collaborate closely with Field Engineering leadership, Product, and our partner ecosystem.
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