Lead Solutions Architect

Accountabilities

• Lead complex enterprise accounts across the full technical sales lifecycle, from initial discovery and architecture discussions through proof of concept, production deployment, and long-term customer success.


• Act as a trusted technical advisor to enterprise customers, translating strategic business challenges into scalable data, analytics, cloud, and AI solutions.


• Deliver compelling technical demonstrations, solution pitches, and presentations to technical decision-makers, budget holders, C-level executives, and other senior stakeholders.


• Rapidly develop credible working prototypes and customer demos using AI-assisted development, applying sound technical judgment to validate, refine, and productionize AI-generated outputs.


• Design and oversee complex proofs of concept on major public cloud platforms, ensuring that solutions address both technical requirements and measurable business outcomes.


• Orchestrate cross-functional teams and collaborate with internal subject-matter experts, product teams, engineering stakeholders, and leadership to move complex opportunities forward.


• Mentor and develop Solutions Architects and Senior Solutions Architects, helping strengthen technical capabilities, customer engagement skills, and solution delivery practices across the regional team.


• Establish and roll out repeatable technical processes, architectural best practices, and solution patterns that improve consistency and effectiveness across the region.


• Build the technical presence of the organization across the DACH market through customer workshops, technical collateral, meetups, conference presentations, and other community-facing activities.


• Assess competing technologies, customer priorities, and investment opportunities to recommend the right technical direction and prioritize high-value use cases.

• Fluent German and business-level English, with the ability to communicate confidently with customers, executives, technical teams, and internal stakeholders in both languages.


• Substantial experience in technical pre-sales, solutions architecture, consulting, or a closely related customer-facing technical role involving complex enterprise engagements throughout the sales lifecycle.


• Proven ability to lead sophisticated technical and business conversations with C-level executives and senior decision-makers while influencing outcomes toward long-term customer value.


• Strong experience in the data technology landscape, with deep expertise in at least one of data engineering or data science.


• Hands-on coding capabilities in Python and SQL, with the ability to build, evaluate, and communicate working technical solutions.


• Extensive experience designing and executing complex proofs of concept using at least one major public cloud platform.


• Daily, practical use of AI tools, coding assistants, and AI agents as part of your engineering and solution-development workflow.


• Ability to rapidly build credible customer-facing prototypes with AI assistance while recognizing limitations, validating generated code, and applying independent technical judgment where required.


• Strong architectural thinking and the ability to balance technical feasibility, business value, scalability, investment priorities, and competitive considerations.


• Excellent communication, presentation, stakeholder management, and cross-functional leadership skills.


• A strategic and commercially aware mindset, combined with strong technical credibility and the ability to operate effectively in complex enterprise environments.


• Ability to mentor others, share technical knowledge, establish best practices, and contribute to the development of a high-performing solutions architecture community.

• Opportunity to lead some of the most complex enterprise data and AI engagements in the region.


• High-impact position combining technical architecture, enterprise consulting, customer leadership, and AI innovation.


• Exposure to advanced data engineering, data science, cloud platforms, generative AI, and AI-assisted software development.


• Significant influence over strategic customer outcomes as well as the development of Solutions Architects across the region.


• Opportunity to establish technical best practices and shape the regional approach to enterprise data and AI solutions.


• Visibility within the wider data and AI community through workshops, meetups, customer events, technical content, and conference speaking opportunities.


• Collaborative environment with access to internal technical specialists, product teams, engineering organizations, and senior leadership.


• Opportunities for professional growth through mentoring, technical leadership, customer engagement, and broader regional influence.


• Comprehensive benefits and perks are provided according to the applicable regional employee offering.


• A culture designed to support inclusion, equal opportunity, collaboration, and the development of diverse technical talent.


• Any applicable compensation and location-specific benefits are determined according to the role, level, and regional employment framework and can be discussed during the recruitment process.

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