
Databricks · Munich
FEQ427R153 At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides u...
At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a
customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We
aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive
platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous
improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data
Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused
team that values innovation and creativity, using your skills to create customised solutions to help our customers achieve their
goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!
Databricks customers in collaboration with Account Executives.
advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks
Data Intelligence Platform.
and help build the Databricks community in your region by leading workshops, seminars, and meet-ups.
propositions.
of Spark.
platform(s).
requiring an ability to context switch in levels of technical depth.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and
over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI.
Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse,
Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific
details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to
ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment
at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or
expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation,
socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's
discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an
applicant on this basis alone.
FEQ427R168 At Databricks, our core values are at the heart of everything we do. Creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. As a recognised thought leader, you will be measured by your impact and contributions to impactful initiatives, such as leading SME teams and delivering regular presentations at conferences and industry events. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! The impact you will have: * Lead and manage complex enterprise and strategic customer accounts, ensuring exceptional customer satisfaction and value delivery. * Serve as a role model within Field Engineering, embodying Databricks' core principles and acting as a recognised leader. * Collaborate with Field Engineering leadership to mentor and guide the development of Solutions Architects and Senior SAs, fostering team growth. * Enhance Databricks' technical community presence by developing impactful customer-facing materials and leading workshops, seminars, and industry events. * Contribute to the development and implementation of regional best practices and efficient processes to improve team effectiveness. * Cultivate a strong internal network within Databricks, building key relationships with stakeholders across various specialist and product teams. What we look for: * Extensive experience in navigating complex customer engagements and the sales lifecycle within a technical pre-sales environment. * Proven ability to lead strategic business discussions with C-level executives to build strong relationships, orchestrate internal teams, and influence outcomes that drive long-term customer success. * Strong aptitude for identifying and prioritising key business use cases, strategic resource allocation, and investment strategies to maximise impact. * Understanding of core programming concepts and a willingness to engage with data and analytics technologies at a conceptual level. * Experience guiding customers through complex evaluations and a solid understanding of public cloud platforms. * Expertise in developing and articulating compelling solutions for diverse customer needs and effectively positioning Databricks in a competitive landscape. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
FEQ427R199 The Solutions Architect (Lakebase) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritised product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region. Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product. They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives. The Solutions Architect (Lakebase) is paired with an Account Executive aligned to a given product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that clients make an informed decision as they decide to adopt the product-line in a meaningful way. The Lakebase product-line requires the following core technical competencies: * 10+ years of transactional database (OLTP) expertise across engineering, product development, administration, and pre-sales, with a proven track record of designing and delivering client-facing solutions. * Credibility in influencing OLTP products with the market insight needed to shape and prioritise roadmap capabilities. * Experience architecting solutions that integrate transactional data systems within broader Big Data, Lakehouse, and AI ecosystems. * Infrastructure, platform and administration expertise around disaster recovery, high availability, backup and recovery, scale-out methods, identity and security management, migrations (vendor-to-vendor, on-prem to cloud) The impact you will have * Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory. * As a trusted advisor, serve as an expert Solutions Architect and "champion," building technical credibility with stakeholders to drive product adoption and vision. * Enable clients at scale through workshops and developing customer-facing collateral that helps increase technical knowledge and thought leadership. * Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams * Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical environments. Competencies & Responsibilities * 6+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level data strategy and product adoption. * Proven ability to co-plan large territories with Account Executives and operate in a highly coordinated, cross-functional effort across GTM and R&D teams. * Experience collaborating with Global System Integrators (GSIs) and third-party consulting organisations to drive customer outcomes. * Proficient in programming, debugging, and problem-solving using SQL and Python. * Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP). * Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, AI, ML, governance, transactional systems, app development, and streaming. * Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering or similar. * A track record of driving complex projects to completion in fast-paced, customer-facing environments. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
FEQ427R180 The data and AI market is at an inflection point: organisations are moving from isolated pilots to platform decisions that shape how they build, operate, and scale for years to come. This creates a significant opportunity to help customers turn data and AI investments into measurable business outcomes. This role combines people leadership, business ownership, and executive engagement. You will operate as a player-coach in key deals while building a high-performing, scalable field-engineering organisation for a consumption-based business. You report to the Director, Field Engineering. THE IMPACT YOU WILL HAVE * Build, lead, and scale the pre-sales (Solutions Architect) team for your assigned customers in Germany, including hiring, coaching, performance management, and career development, and owning coverage across your account portfolio. * Own pre-sales ROI and effectiveness, including coverage models, prioritisation, and impact on win-rate, sales cycles, and customer adoption. * Act as a player-coach by balancing hands-on involvement in key customer engagements with building repeatable motions, artefacts, and coaching mechanisms that scale impact across the team. * Establish and reinforce a solution- and value-based selling culture, focused on business outcomes, not just technical excellence. * Partner closely with Sales leadership to support forecast accuracy, pipeline quality, and consumption growth in a usage-driven business model. * Engage with senior and executive stakeholders at customers to build trusted relationships and long-term partnerships. * Drive a scalable adoption model by anchoring partner and PS attach and establishing a crisp pre-/post-sales handshake tied to consumption outcomes (onboarding readiness, adoption milestones, expansion path). * Represent Field Engineering as part of the regional team, contributing to Databricks' brand, market positioning, and growth in Germany. WHAT WE LOOK FOR * Proven experience building and managing pre-sales or technical field teams in a high-growth environment. * Strong background in data engineering, analytics platforms, databases, or data science, gained through engineering, consulting, or technical leadership roles. * Demonstrated success in consumption-based or SaaS business models, including forecasting, expansion, and customer adoption. * Ability to operate as a player-coach, balancing hands-on deal involvement with scalable team leadership. * Track record of partnering effectively with Sales and cross-functional leaders to drive measurable business outcomes. * Experience establishing repeatable processes that improve efficiency without limiting innovation or ownership. * Passion for the data and AI market and the ability to articulate a clear, executive-level POV on the value of Databricks. * Executive presence with the ability to influence and communicate confidently with senior stakeholders. * Fluent German (highly preferred) and fluent English (required). About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.