
1001 - 5000 employees
Founded 2013
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
💰 $1.6G Series H on 2021-08
Artificial Intelligence • Enterprise • SaaS
Databricks is a data and AI company that provides a unified platform for data engineering, machine learning, and analytics. It focuses on optimizing big data processing and helps organizations leverage Apache Spark to deliver deeper insights and powerful data-driven applications. Databricks also offers robust tools and seamless integration for machine learning operations.
🔥 0 minutes ago
🗣️🇩🇪 German Required
Where this job comes from
Posted on Databricks's careers page, not through a job board
First seen by Remote Rocketship 0 minutes ago

1001 - 5000 employees
Founded 2013
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
💰 $1.6G Series H on 2021-08
Artificial Intelligence • Enterprise • SaaS
Databricks is a data and AI company that provides a unified platform for data engineering, machine learning, and analytics. It focuses on optimizing big data processing and helps organizations leverage Apache Spark to deliver deeper insights and powerful data-driven applications. Databricks also offers robust tools and seamless integration for machine learning operations.
• Act as the trusted technical advisor on digital sovereignty for strategic and regulated customers across Germany, from initial CIO/CISO conversation through production • Design and validate sovereign reference architectures • Run complex proofs of concept and pilots covering performance, scalability, security, network connectivity, and varied data volumes • Translate proof-of-concept results into clear go/no-go recommendations • Collaborate with sovereign cloud and storage partners on solution design, technical enablement, co-selling, and joint customer workshops • Position Databricks in sovereignty discussions involving CLOUD Act, GDPR, NIS2, DORA, BSI C5, EU Data Act, open formats, and exit strategies • Feed field requirements back to Product and Engineering • Collaborate with Legal, Security, and Compliance on customer questions • Build reusable reference architectures, demos, proof-of-concept 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 • Rapidly turn customer conversations into working prototypes using AI-assisted development
• Fluent German and business-level English; both 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, including networking, private connectivity, VPN, private endpoints, identity and access management, encryption, and key management such as BYOK/HYOK • Experience with object storage and open table formats, including S3-compatible storage such as MinIO, Delta Lake, or Apache Iceberg • Experience with secure data sharing patterns • Good working knowledge of the regulatory and sovereignty landscape in Germany and the EU, including GDPR, CLOUD Act implications, NIS2, DORA, BSI C5, and KRITIS • Ability to discuss regulatory and sovereignty topics 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 • Daily, fluent use of AI tools, including coding assistants and agents • Ability to build credible, working customer prototypes with AI assistance and recognize where output requires personal judgment • Willingness to travel within Germany for customer and partner meetings
• Comprehensive benefits and perks, with specific details offered in the Germany region provided via the employer's benefits document • Remote work option from anywhere in Germany • Option to work from a Databricks office • Opportunities to collaborate with Field Engineering leadership, Product, and the partner ecosystem
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