Enterprise Architect at AUTODOC SE

Warsaw, Masovian Voivodeship, Poland -

Full Time

Start Date

Immediate

Expiry Date

05 Aug, 26

Salary

0.0

Posted On

07 May, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Enterprise Architecture, Data Modeling, Master Data Management, Semantic Modeling, Data Governance, Business Intelligence, DMBOK, Information Systems Design, Analytical Thinking, Strategic Planning, Stakeholder Management, GDPR Compliance, AI/ML Readiness, Canonical Modeling, Metadata Management, Data Lineage

Industry

technology;Information and Internet

Description

Company Description AUTODOC is the largest and fastest growing auto parts ecommerce platform in Europe. Present across 27 countries with around 6,000 employees, AUTODOC generated revenue of over €1.8 billion in 2025, supplying more than 9.3 million active customers with its millions of vehicle parts and accessories for car, truck, and motorcycle brands. Curious minds, adventurous experts and tech-savvy professionals - one team, one billion euros revenue. Catch the ride! Job Description About the role As AUTODOC continues its rapid transformation into a premier tech ecosystem, our Enterprise Architecture function serves as the essential bridge between our ambitious business goals and technical execution. To support our long-term strategy, we are evolving our landscape by introducing high-impact applications while decommissioning legacy systems to ensure operational excellence. We are now shifting our focus from merely housing information to cultivating a high-quality, automated data ecosystem that powers rapid decision-making and AI-driven scale. As such, we are hiring an Enterprise Architect to bridge the gap between our business strategy and technology. In this role, you will look holistically at how data flows through Autodoc - from its creation in operational systems like AWS, SAP, or PIM to its final use in analytics and AI. Your mission is to build a scalable data foundation by defining a cross-functional strategy and a clear MDM roadmap. You will be the central authority responsible for designing and evolving our data ecosystem, ensuring that information is consistent, trusted, and ready for automation across all key domains, including Supply Chain, Finance, and Engineering. Your responsibilities will include: Architecture Strategy and Future-State Design Define the future-state data architecture, including domains, canonical models, and semantic layers. Document current data flows and ownership boundaries, identifying structural gaps and risks. Develop transition roadmaps and sequencing plans aligned with business priorities and scalability. Govern Data Domain Architects and Data Architecture Practices Build frameworks, assets, and tooling for Data Domain Architects; provide direction and coaching. Review and approve conceptual, logical, and canonical data models. Ensure data architecture is embedded into project intake and manage architectural debt. Establish Canonical Models and Cross-Domain Data Interoperability Champion the adoption of MDM, metadata management, and data quality components. Define canonical models for core entities (orders, stock, customer) and govern CRUD ownership. Resolve semantic inconsistencies and ensure integrations follow enterprise data contracts. Enable Trusted, AI-Ready, High-Quality Enterprise Data Define the enterprise semantic layer for KPIs and metrics to ensure consistency across all platforms. Establish data quality standards, lineage requirements, and metadata governance. Ensure architecture supports AI/ML readiness (feature stores, trusted training pipelines). Coordinate cross-team remediation for systemic data quality issues. Compliance, Risk Management, and Industry Alignment Define the data risk framework (accuracy, privacy, GDPR) and classification policies. Ensure data controls are embedded into the architecture design from the start. Lead cross-domain reviews of data incidents and drive systemic fixes. Contribute to and Lead the Architecture Community Lead the Data Architecture Community of Practice and mentor architects across the company. Share modeling standards and governance assets to raise data architecture maturity. Collaborate with other Enterprise Architects to ensure unified business and tech alignment. Qualifications 8–10 years in IT, with 2+ years in information systems design for complex, distributed environments. Proven track record in designing and implementing enterprise-scale data ecosystems. 3–5 years as a Data Analyst (highly desirable) with strong analytical capabilities. Hands-on experience with MDM, semantic modeling, data governance, and BI. Practical experience with DMBOK or similar frameworks is a strong plus. Technical Skills Expertise in Data Modeling: Deep knowledge of enterprise-level modeling, information classification, and semantic consistency. Architecture Frameworks: Strong understanding of information models, data governance principles, and MDM/DWH methodologies. Analytical Thinking: Ability to translate complex business needs into scalable architectural patterns (relational/object modeling, taxonomies, ontologies). Strategic Evaluation: Capability to assess new technologies and their financial/operational impact on the enterprise. Soft Skills and Leadership Capabilities Influence & Communication: Ability to articulate complex concepts to stakeholders and drive adoption of standards. Collaborative Leadership: Recognized as a trusted advisor who can build and lead a Community of Practice. Strategic Delivery: Strong judgment in balancing short-term project needs with long-term architectural integrity. Vendor Neutrality: Ability to remain unbiased toward specific technologies, focusing on long-term sustainability and value. Key Behaviors and Competencies Enterprise Mindset: High level of ownership and accountability for the company's data health. Strategic Thinker: Ability to identify business performance improvements through data-driven opportunities. Trusted Advisor: Proven capacity to align cross-functional teams (Business, Tech, Finance) toward shared goals. Additional Information What We Offer Impact & Growth: We are a fast-growing tech scale-up where your work directly influences the future of the automotive aftermarket. Flexibility: We support a modern work-life balance with flexible working hours and remote work options where possible. Development: Access to internal training programs, workshops, and clear career paths to help you reach your full potential. Culture: A diverse, international environment where "belonging" is a core value. Join us for regular team events and a collaborative atmosphere. Extras: Competitive salary packages, employee discounts on our vast range of products, 1 extra day of vacation to celebrate your birthday and modern office spaces designed for creativity and focus. (if in hybrid set up) Time Type: Full time

Responsibilities

Define and evolve the enterprise data architecture and MDM roadmap to bridge business strategy with technical execution. Lead the Data Architecture Community of Practice while ensuring data quality, consistency, and AI-readiness across the organization.