EcoVadis
business sustainability ratings
DataArchitect
Neural analysis suggests this role is
optimal for mid candidates.
“Data Architect at EcoVadis. Skills: Data Strategy, Enterprise Data Architect, Data Platform Evolution, Data Mesh Ecosystem, Data as a Product, AI as a Core Competency, Generative AI, AI Agent Consumption, LLM Orchestration, Real-time MLOps, Feature Stores, Vector Databases, Data Governance, MLOps. Building target architectures and long-term strategic roadmaps.. Translating complex business needs into pragmatic, future-proof architectures.”
What You'll Achieve.
Evolve our Data Platform into a high-performance data mesh ecosystem.; Treat data as a product.; Treat AI as a core competency.; Ensure our ecosystem remains scalable, resilient, and AI-enabled.; Maximize value from self-service data platform capabilities.
Industry & Context.
Translating complex business needs into pragmatic, future-proof architectures; Troubleshooting issues
Eligible to work and live in Spain, Hybrid in Barcelona (4 days per month in the office) / Full remote from Spain
What They're Looking For.
Must Have
Very good knowledge of data platforms in general, i.e. data warehouses, data lakes, lakehouses, BI tools, embedded analytics solutions., Expertise 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., 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 proficiency in verbal and written facilitation skills., Pragmatic approach to governance & application portfolio rationalization., 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.
Nice to Have
Relevant certifications (i.e. CDMP/DAMA, TOGAF, CIPP) would be a plus.
What You'll Do.
Building target architectures and long-term strategic roadmaps.
Translating complex business needs into pragmatic
future-proof architectures.
Defining and governing Enterprise Data Models and Domains.
Designing for 'AI-readiness' by integrating Feature Stores
Vector Databases and other technologies.
Exploring and validating new solutions in the data platform space.
Performing technical Proof of Concepts
and assisting teams in industrializing them.
Monitoring new technological advances to assist teams in reducing technical debt and adopt the right tooling.
Continuously improving architecture governance practices.
Developing and maintaining policies
Identifying discrepancies between the technical architecture
Ensuring architectures adhere to data compliance frameworks and ethical considerations.
Enabling Data as a Product
ensuring they are designed for reusability
and self-service consumption.
Defining best practices for the development
and lifecycle management of data products.
Guiding Data Engineering and Analytics teams on day-to-day data modeling patterns
and execution choices.
Advising business and technical stakeholders on self-service data platform capabilities.
Ensuring architecture aligns with security strategy and policies.
Driving continuous improvement and helping drive the adoption of new data tools and practices.
Applying a pragmatic approach to governance and application portfolio rationalization.
How You'll Work.
Team & Collaboration
Collaborate with Solutions, Engineering, Data and IT teams.; Collaborate with Data Governance and AI teams.; Collaborate with Product Managers and Data Product Owners.; Partner with IT team members.
Communication Scope
Good stakeholder management skills; Proficiency in communication; Facilitation skills; Verbal and written facilitation skills
Process & Methodology
Planning, Prioritization, Organizational skills, Vendor selection process, Leading workshops
Full Job Description
Work smart, have fun and make an impact! EcoVadis is the leading provider of business sustainability ratings. Our solutions are backed by an international team of experts and powerful technology. We analyze data and build sustainability scorecards that give companies actionable insights into their environmental, social and ethical risks. Why apply to EcoVadis? Be a part of the global sustainability change in business. Grow your career. Work with extraordinary people. Feel valued for your contribution. Learn more about our team and culture on [EcoVadis careers page](https://ecovadis.com/careers/). 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. Key Responsibilities Enterprise Data Strategy * Building target architectures and long-term strategic roadmaps alongside Solutions, Engineering, Data and IT teams. * Become the owner of the Data Strategy on the architecture side, translating complex business needs into pragmatic, future-proof architectures. * Define and govern Enterprise Data Models and Domains, expanding beyond traditional analytics to AI/ML workloads. * Lead the architecture side of the Data Strategy, specifi
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