EcoVadis
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.
Data Architect
🕒 May 28
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EcoVadis
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.
📋 Description
• Building target architectures and long-term strategic roadmaps alongside Solutions, Engineering, Data and IT teams. • 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. • Design 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. • Ensure architectures adhere to data compliance frameworks (e.g., GDPR, CCPA) and ethical considerations in AI/ML model deployment. • 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.
🎯 Requirements
• 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. • 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. • Good stakeholder management skills; proficiency in verbal and written communication; facilitation skills. • 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.
🏖️ Benefits
• 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 • Optional (fully covered or co-financed) health care and life insurance • Multisport card • Multikafeteria • Lunch card • Hybrid work organization • Remote work from abroad policy • Internet and Electricity bill allowance • Additional day for community service when volunteering
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