IS Data Architect

DBV Technologies•Bernards, VA

11d•$160,000 - $185,000•Hybrid

About The Position

The IS Data Architect will define, implement, and maintain the data architecture, ensuring it meets business requirements and remains consistent with the global IS architecture, Data Governance principles, and DBV’s standards. This role is responsible for ensuring data architecture compliance, performance, sustainability, alignment with business needs, and optimization of the data lifecycle. The architect will also design, implement, oversee, and maintain the data integration platform and the enterprise's Master Data Management solution.

Requirements

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.

Nice To Haves

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.

Responsibilities

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.