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 EcoVadis’ 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: B2B (preffered) or CoE
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, rETL, SQL, noSQL, 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 :
SuSupport 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
