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.