Data Architect

As EcoVadis continues to evolve its business and expand its product portfolio, we are embedding AI more deeply into how we operate. The Enterprise Data Architect plays a critical role in sustaining the growth. Sitting at the intersection of business, data, and technology, you will bridge business strategy and technology strategy, acting as the technical "North Star," to evolve our Data Platform into a high-performance data mesh ecosystem that treats data as a product and AI as a core competency. You will bridge the gap between traditional data modeling and the emerging needs of Generative AI, AI Agent consumption, LLM orchestration, and real-time MLOps. You will be the owner of the Data Strategy on the architecture side, supporting multiple teams including Analytics, BI, Data Engineering, Data Governance, Engineering and AI/ML teams to ensure our ecosystem remains scalable, resilient, and AI-enabled. Offer available only for candidates eligible to work and live in Poland Location: Hybrid in Warsaw (4 days per month in the office) / Full remote from Poland In return for your expertise, we offer: Support with all the necessary office and IT equipment Flexible working hours Wellness allowance for mental and physical wellbeing Access to professional mental health support Referral bonus policy Learning and development Sustainability events and community involvement Peer recognition program Employee-led resource groups Optional (fully covered or co-financed) health care and life insurance Multisport card Multikafeteria Lunch card Hybrid work organization Remote work from abroad policy Internet and Electricity bill allowance Additional day for community service when volunteering Very good knowledge of data platforms in general, i.e. data warehouses, data lakes, lakehouses, BI tools, embedded analytics solutions. Expertize in multi-domain analytical architectures, i.e. data mesh, medallion architecture, self-service analytics & BI. Specific experience with Databricks is a must. Experience with enterprise data models design, knowledge of various data modeling patterns, data engineering practices, data management standards i.e. DAMA. At least 5 years focusing on architecture (any of: data architecture, solution architecture, enterprise architecture). Broad understanding of technical aspects of data integration, including data catalogs, data quality, solution maintainability, performance and security. Practical experience with concepts such as MDM, RDM, CDP, ETL, ELT, rETL, SQL, noSQL, near-real time analytics. Approach going beyond only technical components of architecture, but rather including people - process - technology as a whole. Experience with all stages of SDLC - from building vision & strategy, through solution design, vendor selection process in some projects, technical design, leading workshops, assisting implementation teams & troubleshooting issues and driving solution adoption. Good stakeholder management skills; proficiency in verbal and written communication; facilitation skills. Pragmatic approach to governance & application portfolio rationalization. Data Compliance and Ethics:data compliance frameworks (e.g., GDPR, CCPA, SOX) and ethical considerations in data usage and AI/ML model deployment. Must be a team player, but with a high degree of self-organization. Ability to mentor and guide teams, fostering a culture of technical excellence and innovation. Relevant certifications (i.e. CDMP/DAMA, TOGAF, CIPP) would be a plus. Fluent level of English.