Enterprise Data Architect

**Company Description**
Company Description
- Work smart, have fun and make an impact_

**Our purpose is to guide all companies toward a sustainable world.** EcoVadis is the leading provider of business sustainability ratings. Our solutions are backed by an international team of experts and powerful technology. We analyze data and build sustainability scorecards that give companies actionable insights into their environmental, social and ethical risks.

Learn more about our team and culture on EcoVadis careers page.

In this new role, you will be part of the Enterprise Architecture team which supports multiple teams focused on data including Analytics, BI, Data Engineering Data Governance and AI/ML.

The role would be key for sustaining EcoVadis’ growth. As our company evolves, and our product portfolio expands, we are adjusting our approach to data operations to match the growing needs of our data-driven business.

**Key responsibilities**:

- ** Strategic Planning**: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
- ** Stakeholder Guidance**: 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.
- ** Enable Data as a Product**: 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.
- ** Architecture Governance**: 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
- ** Standardization**: 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

In summary, initially you will be responsible for:

- Vision and governance practices across our Data platform: 30%
- Projects - driving and/or validating solution & technical design: 30%
- Explore new solutions: 20%
- Continuous improvements: 20%

**Qualifications**
- 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
- Data Compliance and Ethics