About the project

• The Staff Architect – Data Architecture is an experienced technologist within the Enterprise Architecture team, dedicated to shaping, implementing, and governing the enterprise data architecture. This role is pivotal in ensuring consistency, interoperability, and strategic alignment of data across the organization.
• You will lead and partner in the development and governance of the enterprise data model, data policies, integration patterns, and data contracts between our core domains and capabilities. You will work closely and collaboratively with engineering, product, and architecture stakeholders to ensure data is treated as a strategic asset—enabling scalable, secure, and intelligent solutions that benefit everyone.
• This role welcomes candidates from all backgrounds and genders and values diverse perspectives. It calls for a blend of deep technical expertise in data architecture and engineering, strong communication and synthesis skills, and a strategic mindset to align data initiatives with domain delivery.
• Working closely with other senior individual contributors and technical leaders, the Staff Architect ensures ongoing alignment of data architecture practices across portfolios. They provide mentorship, oversight, and guidance on the discipline of data architecture, influencing its evolution across Chapters and engineering teams.
• The Staff Architect also plays a key role in supporting and growing an inclusive IC community by sharing knowledge, promoting best practices, and fostering a culture of belonging and excellence in data architecture. This position is ideal for experienced professionals who can navigate both functional and technical data landscapes and drive impactful outcomes with autonomy and expertise.
• Additional Information
• 🖥️ Software & Hardware
• Mac or Dell laptop — your choice, so you can work the way you feel most productive
• Windows or macOS system — whichever fits your style
• 2 monitors (24", 27", or 32") for an ergonomic, flexible setup
• Adjustable desks for your comfort, health, and well‑being
• Slack & Teams to keep communication open, smooth, and inclusive
• Atlassian tools (JIRA, Confluence) to help everyone stay connected and organized

Your responsibilities

• 📌 Responsibilities
• • You will contribute to the implementation and governance of the enterprise data architecture, ensuring alignment with business and technical strategies.
• • You will support the definition and maintenance of the enterprise data model, promoting consistency and interoperability across domains.
• • You will help establish and enforce data policies, integration patterns, and data contracts between domains and capabilities.
• • You will collaborate with domain architects, engineering leaders, and product teams to simplify and standardize data flows and interfaces.
• • You will support the full ML/AI lifecycle, from data acquisition and preparation to model deployment and monitoring.
• • You will contribute to architecture roadmaps, principles, and standards related to data.
• • You will participate in resolving complex data-related architectural decisions and challenges.
• • You will help improve the maturity of data architecture assets and practices across the organization.
• • You will help create an inclusive culture where all team members feel heard, valued, and empowered to contribute.
• 📌 Key stakeholders
• • VP of Architecture
• • Engineering Directors & Managers
• • Product Directors & Managers
• • Domain Architects
• • Principal & Staff Engineers
• • Data Scientists & ML Engineers
• • Business stakeholders and colleagues across diverse teams and backgrounds
• 📌 Key performance indicators
• • Delivery of data architecture milestones
• • Health and adoption of the enterprise data model
• • Quality and consistency of data contracts and integration patterns
• • Support for ML/AI lifecycle and data platform scalability
• • Engineering and data governance health
• • Delivery of OKRs
• • Contribution to an inclusive, supportive, and collaborative work environment

Our requirements

• Strong technical background in data architecture, data engineering, and data management
• Proven experience in enterprise data modeling, data governance, and data integration
• Familiarity with the ML/AI lifecycle and enabling data platforms for intelligent applications
• Effective communication and synthesis skills to engage confidently with both technical and non‑technical stakeholders
• Experience with solution architecture and cross‑domain data initiatives
• Ability to influence and align technical solutions with business goals, while collaborating respectfully with diverse teams
• Strong understanding of modern data platforms, cloud‑native data services, and data security practices
• Commitment to building an inclusive, supportive environment where all voices and perspectives are welcomed

Technologies we use

This is how we work on a project

• architect / technical leader support

• Continuous Deployment

• Continuous Integration

• DevOps

What we offer

• Premium medical and dental care for you and your loved ones

• Life insurance for peace of mind

• Flex Benefits – Worksmile Cafeteria System (Multisport, vouchers, tickets, etc.)

• Employee Referral Program

• Hackathons, Knowledge Sharing Hours, and in‑house projects where all voices are welcomed

• Tech and sport communities open to everyone

• Team get‑togethers and integration parties to build genuine connections

• Charity initiatives & 2 extra volunteer days to support causes you care about

• English/German classes to boost your confidence and skills

• Game room and chill‑out zone to relax, recharge, and share time with colleagues