
1001 - 5000 employees
Founded 2007
☁️ SaaS
📋 Compliance
🏢 Enterprise
💰 Secondary Market on 2022-11
SaaS • Compliance • Enterprise
EcoVadis is a SaaS company that offers sustainability intelligence solutions for companies of any size and industry, focused on managing ESG risk, compliance, and corporate sustainability goals. The platform provides services like sustainability ratings, risk mapping, carbon management, and due diligence to help companies improve their sustainability performance. EcoVadis covers over 180 countries and 220 industries, offering detailed insights to support supply chain sustainability and compliance with global regulations. The company also provides resources such as the EcoVadis Learning Academy to help companies meet specific sustainability targets, including net-zero carbon goals. EcoVadis serves a broad range of industries, including finance, pharmaceuticals, consumer goods, and more.
🕒 May 28
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1001 - 5000 employees
Founded 2007
☁️ SaaS
📋 Compliance
🏢 Enterprise
💰 Secondary Market on 2022-11
SaaS • Compliance • Enterprise
EcoVadis is a SaaS company that offers sustainability intelligence solutions for companies of any size and industry, focused on managing ESG risk, compliance, and corporate sustainability goals. The platform provides services like sustainability ratings, risk mapping, carbon management, and due diligence to help companies improve their sustainability performance. EcoVadis covers over 180 countries and 220 industries, offering detailed insights to support supply chain sustainability and compliance with global regulations. The company also provides resources such as the EcoVadis Learning Academy to help companies meet specific sustainability targets, including net-zero carbon goals. EcoVadis serves a broad range of industries, including finance, pharmaceuticals, consumer goods, and more.
• 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. • 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. • Collaborate with Data Governance and AI teams to: Continuously improve architecture governance practices. • 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. • Drive continuous improvement and help drive the adoption of new data tools and practices.
• 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.
• 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 • Remote work from abroad policy • Meals and Transportation Vouchers (Cobee card) • Dental Benefits • Life & Accident Insurance + Private Health Insurance • Paid employee volunteer day • Paid moving day (1/year) • Time off: 1 Community Service Day + 1 Personal Day • Summer Hours in July and August (36 hours per week) • Hybrid Monthly Allowance for electricity and Internet
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