Data Architect
Listed on 2026-09-21
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IT/Tech
Data Engineering, Data Warehousing, Information Security & Data Protection, Data Analyst
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.
Design, implement, oversee and maintain the data integration platform.
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, One Lake, 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 Dev Ops/Data Ops 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.
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.
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