Responsibilities
- 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.
Requirements
- Multiple 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.
Benefits
- Flexible working hours and option to work from home.
- Ergonomic workstations, subsidies for health services, sponsored sports events, etc.
- Regular after-work sessions, shared breakfasts/lunches, summer and Christmas parties, team events, and more.
- Flat hierarchies, high level of personal responsibility, international and diverse teams, friendly and supportive team spirit.
- Focus on promoting both technical and personal growth to ensure employees stay up to date.
- Modern office, dual monitors, ergonomic equipment, and excellent on-site infrastructure.
Additional Information
- Business-fluent German and strong English language skills (written and spoken)
- Work with distributed teams, especially colleagues in India
- Option to work from home
- Ergonomic workstations
- Dual monitors
- Excellent on-site infrastructure
