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Technologies-expected : Microsoft Power BI Databricks SQL technologies-optional : Microsoft Azure about-project : In this new role, you will be part of the Enterprise Architecture team which supports multiple teams focused on data including Analytics, BI, Data Engineering Data Governance and AI/ML. The role would be key for sustaining Eco Vadis’ growth. As our company evolves, and our product portfolio expands, we are adjusting our approach to data operations to match the growing needs of our data-driven business. Location: Hybrid in Warsaw (4 office days per month) / Full remote from Poland Contract: B2 B (preffered) or Co E responsibilities : Strategic Planning: Participate in building target architectures and long-term strategic roadmaps of Product & Transformation, together with our Solutions, Engineering and Information Systems teams; become the owner of Data Strategy on architecture side Stakeholder Guidance: Advise business and technical stakeholders, both within and outside Data & Analytics, on self-service data platform capabilities and best practices to maximize value for the business. Enable Data as a Product: Collaborate with Product Managers and Data Product Owners to ensure data products are designed for reusability, scalability, and self-service consumption. Define best practices for the development, maintenance, and lifecycle management of data products. Architecture Governance: Continuously improve our architecture governance practices, i.e. by leading and contributing to Design Authority, formalizing environments architecture, helping to grow devops culture, while staying in line with our Data Governance Standardization: Develop and maintain policies, standards, and guidelines to ensure that a consistent framework is applied across all stakeholders of our data platform, both within Technology teams (Data & Analytics, Business Applications, Engineering, AI/ML, MLOps) and outside (function analytics within respective business functions, including functions working with sensitive data) Define and maintain Enterprise data models & domains and guide respective teams in implementing them Identify discrepancies between the technical architecture, agreed practices and systems designs proposed by project teams; applies to both internal tech teams and function analytics Monitor new technological advances and assists project teams in reducing technical debt Explore and validate new solutions in data platforms space, based on business requirements and/or own research Drive continuous improvement, explore, deliver Proof of Concepts, help driving adoption Partner with IT team members to ensure architecture aligns with security strategy/policies and to provide a consensus-based scalable and adaptable architectural solution Being part of D&A leadership requirements-expected : 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, r ETL, SQL, no SQL, near-real time analytics Approach going beyond only technical components of architecture, but rather including people - process - technology as a whole Cloud expertise: Hands-on experience with cloud-native architectures and services is a must, experience with Azure services would be a plus 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 offered : Su Support with all the necessary office and IT equipment Optional (fully covered or co-financed) health care and life insurance Multisport card and wellness allowance Multicafeteria Lunch card Annual performance bonus Flexible working hours Hybrid working (4 days in office per month) / Full remote from Poland Remote work from abroad policy Internet and electricity bill allowance CSR activities Modern, pet-friendly office in the city center (next to Rondo ONZ) Community service day when volunteering benefits : sharing the costs of sports activities private medical care sharing the costs of foreign language classes sharing the costs of professional training & courses life insurance remote work opportunities flexible working time fruits integration events dental care no dress code lunch card