Data Architect

Role Overview

• 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.

Requirements

• 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.

Tech Stack

• ETL
• NoSQL
• SDLC
• SQL

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
• 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