Data Architect @ EcoVadis

Popis pozice

O pozici / o projektu

Původní popisek. 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.

• ▪Offer available only for candidates eligible to work and live in Poland
• ▪Location: Hybrid in Warsaw (4 days per month in the office) / Full remote from Poland

In return for your expertise, we offer

• ▪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

Odpovědnosti

Původní popisek. • 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.

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