Data Architect, EcoVadis
€78-80k
Business sustainability ratings provider
Be an early applicant
Business sustainability ratings provider
1001+ employees
Be an early applicant
€78-80k
1001+ employees
Company mission
To provide reliable, globally recognized sustainability rating and insights, enabling all companies to reduce risk, drive improvement and accelerate positive impact on our planet and society.
Role
Who you are
- High level of proactivity and autonomy
- Strong planning, prioritization, and organizational skills
- Pragmatic mindset with a focus on evolution over big-bang transformations
- Comfortable challenging assumptions while remaining collaborative
- Must be a team player with a high degree of self-organization
- Good stakeholder management skills, proficiency in communication, and strong facilitation skills
- Approach architecture by going beyond technical components to include people, process, and technology as a whole
- 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
What the job involves
- 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
- 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, specifically designing for "AI-readiness" by integrating Feature Stores, Vector Databases and other technologies into our long-term roadmap
- Explore and validate new solutions in the data platform space based on business requirements or research
- Perform technical Proof of Concepts, document them, and assist teams in industrializing them
- Monitor new technological advances to assist teams in reducing technical debt and adopt the right tooling
- Collaborate with Data Governance and AI teams to:
- Continuously improve architecture governance practices
- Develop and maintain policies, standards, and guidelines to ensure a consistent framework is applied across the data platform
- Identify discrepancies between the technical architecture, agreed practices, and system designs proposed by project teams
- Ensure architectures adhere to data compliance frameworks (e.g., GDPR, CCPA) and ethical considerations in AI/ML model deployment
- Collaborate with Product Managers and Data Product Owners to enable Data as a Product, ensuring they are designed for reusability, scalability, and self-service consumption
- Define best practices for the development, maintenance, and lifecycle management of data products
- Act as a hands-on mentor to Data Engineering and Analytics teams, guiding them on day-to-day data modeling patterns, best practices, and execution choices
- Advise business and technical stakeholders on self-service data platform capabilities to maximize value
- Partner with IT team members to ensure architecture aligns with security strategy and policies
- Drive continuous improvement and help drive the adoption of new data tools and practices
- Apply a pragmatic approach to governance and application portfolio rationalization
- Be an active part of the D&A leadership team
Our take
With an increasing drive for businesses to be more transparent with their global carbon impact, companies need to find a way to collate their data. This data can then be used to inform business decisions and aid companies in their mission to decrease their carbon emissions. EcoVadis provides business sustainability ratings with the aim of creating a global marketplace where sustainability intelligence influences every business decision.
EcoVadis has devised a criteria based on international sustainable development standards. The criteria considers specific challenges, geographical location and company size to create its rating, ensuring its ratings reflect the company as fairly as possible. The main objective of the rating is to measure the quality of a company’s CSR management system through its policies, actions, and results.
This concept is increasingly pertinent given the emphasis placed on sustainability by consumers, and so EcoVadis is smartly targeting this key area. It currently operates with 130,000 companies of all sizes across more than 180 industries in 220 countries, highlighting the importance of the ratings it provides.
Freddie
Company Specialist at Welcome to the Jungle
Insights
47% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jun 2022
$500m
SERIES C
Jan 2020
$200m
GROWTH EQUITY VC
Total funding: $736.3m
Company benefits
- Flexible hybrid working model
- Learning and development
- Wellness programs
- Sustainability events and community involvement
- Budget to furnish your home office
- Peer recognition program
- Employee-led resource groups
- Referral bonus
Company HQ
Chaillot, Paris, France
Leadership
Pierre-François Thaler
(Co-Founder & Co-CEO)Previously CEO of B2Build SA, the first B2B marketplace for the European construction industry. They also have experience as a Director for the Ariba Procurement BPO business.
Frédéric Trinel
(Co-Founder & Co-CEO)Holds a degree in International Business from ICAD Business School. Previously founded Mr. Ted Ltd as COO.
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