Senior Data Architect (m/f/d) – Presales & Delivery

Design, evolve, and govern scalable enterprise data architectures that support modern data, analytics, and AI use cases, leveraging hands-on experience with decentralized frameworks such as Data Mesh or Data Fabric, ensuring best practices in data modeling, integration, governance, security, and compliance.

Drive adoption of modern cloud data platforms (AWS, Azure, GCP) and advanced analytics technologies, aligning data architecture with overall enterprise architecture and business strategy.

Lead technical presales engagements, including client workshops, RFP responses, and solution design to translate business challenges into robust, scalable data architecture blueprints and technical roadmaps.

Deliver compelling solution presentations and Proof of Concepts (PoCs) for both technical and executive audiences, acting as a trusted advisor to senior client stakeholders.

Take architectural ownership in client projects from discovery through implementation and stabilization, conducting architecture reviews and design decisions throughout the project lifecycle.

Collaborate closely with distributed delivery teams, especially colleagues in India, ensuring architectural integrity, quality standards, and timeline adherence while coaching and mentoring project team members.

Participate in steering committees and key project governance meetings, contributing to the Data & Analytics community through best practices, reusable assets, and architectural playbooks.

Act as a thought leader in internal and external client engagements, supporting capability development in modern data platforms, governance, and AI-enabled data solutions.

Minimum of 12 years of professional experience in data architecture, data management, integration, and analytics in complex enterprise environments.

Strong expertise in modern data ecosystems, including data modeling, ETL/ELT pipelines, BI/analytics tools, data quality, and governance.

Proven hands-on experience with at least one major cloud platform (AWS, Azure, or GCP) and one data intelligence platform (Databricks, Snowflake) or related services (data lakes, data warehouses, lakehouse architectures).

Background in data strategy development, data governance frameworks, master data management, or AI/ML-driven data use cases.

Extensive experience in technical presales, including client workshops, solution design, and showcasing data management accelerators to align strategies with enterprise architecture frameworks.

Excellent workshop facilitation, presentation skills, and intercultural collaboration experience with the ability to communicate complex technical concepts to diverse audiences and work effectively with distributed teams.

Business-fluent German and strong English language skills (written and spoken), with a structured, solution-oriented mindset and high degree of client focus.

Generous Work-Life Balance: Flexible working hours and option to work from home.

Health & Wellbeing: Ergonomic workstations, subsidies for health services, sponsored sports events, etc.

Company Events & Community: Regular after-work sessions, shared breakfasts/lunches, summer and Christmas parties, team events, and more.

Open, Agile Culture: Flat hierarchies, high level of personal responsibility, international and diverse teams, friendly and supportive team spirit.

Training & Personal Development: Focus on promoting both technical and personal growth to ensure employees stay up to date.

Modern Tools & Workspace Design: Modern office, dual monitors, ergonomic equipment, and excellent on-site infrastructure.