Enterprise Data Architect

Summary

Join EcoVadis' Enterprise Architecture team as a key contributor to sustaining the company's growth. You will participate in building target architectures and long-term strategic roadmaps, advise stakeholders on data platform capabilities, and collaborate with product managers to ensure data products are designed for reusability and scalability. Responsibilities include defining best practices, improving architecture governance, developing and maintaining policies and standards, and identifying discrepancies between technical architecture and systems designs. You will also monitor technological advances, explore new solutions, and drive continuous improvement. This role requires expertise in data platforms, multi-domain analytical architectures, and experience with Databricks. The position offers a hybrid work model and a range of benefits.

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
• Cloud expertise: Hands-on experience with cloud-native architectures and services is a must, experience with Azure services would be a plus
• 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

Responsibilities

• Participate in building target architectures and long-term strategic roadmaps of Product & Transformation, together with our Solutions, Engineering and Information Systems teams; become the owner of Data Strategy on architecture side
• Advise business and technical stakeholders, both within and outside Data & Analytics, on self-service data platform capabilities and best practices to maximize value for the business
• Collaborate with Product Managers and Data Product Owners to ensure data products are designed for reusability, scalability, and self-service consumption
• Define best practices for the development, maintenance, and lifecycle management of data products
• Continuously improve our architecture governance practices, i.e. by leading and contributing to Design Authority, formalizing environments architecture, helping to grow devops culture, while staying in line with our Data Governance
• Develop and maintain policies, standards, and guidelines to ensure that a consistent framework is applied across all stakeholders of our data platform, both within Technology teams (Data & Analytics, Business Applications, Engineering, AI/ML, MLOps) and outside (function analytics within respective business functions, including functions working with sensitive data)
• Define and maintain Enterprise data models & domains and guide respective teams in implementing them
• Identify discrepancies between the technical architecture, agreed practices and systems designs proposed by project teams; applies to both internal tech teams and function analytics
• Monitor new technological advances and assists project teams in reducing technical debt
• Explore and validate new solutions in data platforms space, based on business requirements and/or own research
• Drive continuous improvement, explore, deliver Proof of Concepts, help driving adoption
• Partner with IT team members to ensure architecture aligns with security strategy/policies and to provide a consensus-based scalable and adaptable architectural solution
• Being part of D&A leadership

Preferred Qualifications

Relevant certifications (i.e. CDMP/DAMA, TOGAF, CIPP) would be a plus

Benefits

• Support with all the necessary office and IT equipment
• Optional (fully covered or co-financed) health care and life insurance
• Multisport card and wellness allowance
• Multicafeteria
• Lunch card
• Annual performance bonus
• Flexible working hours
• Hybrid working (4 days in office per month)
• Remote work from abroad policy
• Internet and electricity bill allowance
• CSR activities
• Modern, pet-friendly office in the city center (next to Rondo ONZ)
• Community service day when volunteering