Enterprise Data Architect
Enterprise Data Architect
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Job Description
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 datadriven business.
Key responsibilities:
Strategic Planning: Participate in building target architectures and longterm 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 selfservice 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 selfservice 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 consensusbased 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 multidomain analytical architectures i.e. data mesh medallion architecture selfservice 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 nearreal time analytics
Approach going beyond only technical components of architecture but rather including people process technology as a whole
Cloud expertise: Handson experience with cloudnative 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 selforganization
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
Remote Work :
Yes
Employment Type :
Fulltime
Employment Type
Remote
