IS Data Architect

Description :

• Define, implement and maintain the data architecture, ensuring it meets Business requirements and remains fully consistent with the global IS architecture, Data Governance principles, and DBV’s standards.




• Ensure Data architecture compliance, performance, sustainability, alignment with business needs, and optimization of the data lifecycle.




• Design, implement, oversee and maintain the data integration platform.




• Design, build, oversee and maintain the enterprise's Master Data Management solution.

Location :Warren, New Jersey - minimum 3 days on site

Salary Range :$160-185k

Key Responsibilities :

Data Architecture & Data management:

• Define, implement and maintain the data architecture, ensuring it meets Business requirements and remains fully consistent with the global IS architecture, Data Governance principles, and DBV’s standards.




• Build and maintain data architecture standards and frameworks.




• Collaborate with IS team and Business leaders on enterprise data strategy.




• Create and maintain architecture documentation and system mapping across business units.




• Define and maintain rules, policies, and standards related to data availability, integrity, confidentiality, traceability and storage.




• Ensure Data architecture compliance (with regulatory requirements, privacy and security policies), performance, sustainability, alignment with business needs, and optimization of the data lifecycle.




• Put in place and lead data governance including data quality, stewardship and lineage.




• Coordinate Data teams and ensure proper governance.




• Contribute to technology decisions supporting the data lifecycle.




• Select, implement, and maintain appropriate storage solutions, including data lakes, warehouse, and cloud platform.

Data Integration Platform:

• Design, implement, oversee and maintain the data integration platform.

Master Data Management Solution:

• Design, build, oversee and maintain the enterprise's Master Data Management solution.

Maintain continuous technology watch.

Qualifications :

• Advanced degree in Computer Science, Data, Information Systems, or Engineering (Master’s degree / Engineering School / University).




• Significant experience in Data architecture, Data governance, and implementation of Cloud analytics platforms.




• Experience designing and deploying Data solutions within Azure / Microsoft Fabric environments.




• Experience leading cross-functional Data projects and coordinating business and IT teams.




• Strong understanding of data quality, security, compliance, and data lifecycle management challenges.




• Proficiency in data modeling techniques (conceptual, logical, and physical)




• Deep knowledge of MDM, data catalogs, or metadata governance tools




• Strong expertise in Microsoft Fabric, Azur Data Factory, OneLake, Lakehouse, Warehouse, Power BI, pipelines, and notebooks.




• Experience with ETL/ELT frameworks, data integration & ingestion (ETL/ELT, APIs, SFTP, Blob Storage).




• Azure Cloud architecture: Azure Data Lake, Azure Synapse, Azure SQL, Azure Functions, Azure AD.




• Data governance and security: RBAC, RLS, traceability, and data quality management.




• Data flow management and orchestration of data processing.




• Proficiency in SQL, Python, and BI/Data Visualization tools.




• Knowledge of DevOps/DataOps and CI/CD best practices.




• Understanding of data governance, lineage, and security best practices.




• Background in regulated industries with complex compliance needs.




• Strong understanding of Finance processes: reporting, financial KPIs, master/reference data, and controlling.




• Knowledge of Supply Chain processes: procurement, logistics, inventory, forecasting, and operational performance.




• Knowledge of Digital Marketing use cases: media campaigns, analytics, CRM, segmentation, social/search data, and performance marketing.




• Ability to translate business requirements into sustainable and governed Data solutions.

Behavioral skills :

• Curiosity: Keep on exploring uncharted territories. Always ask "why?" and more importantly "why not?",




• Courage: Take smart risks, mentor each other to always do better & be accountable for our choices, our opinions, and our actions,




• Collaboration: Teamwork and spirit. Support each other and be equally involved in the achievement of our common goals,




• Credibility: Be transparent, follow through and build trust. Educate ourselves about our unique technology.