Data Architect

Senior Data Architect

Location: Bridgewater, NJ (Onsite, no remote)

Element W

2
Senior Data Archite

ctPosition Summa

ryWe are seeking an experienced Senior Data Architect to support the evolution and operation of Supply Chain analytics data repository that serves as the foundation for enterprise reporting, analytics, AI, and data product

s.This role will be responsible for defining and implementing data architecture standards, designing scalable data models, establishing data management best practices, and creating repeatable ways of working that enable consistent delivery across multiple business domains. The ideal candidate combines deep technical expertise with strong collaboration skills and can work effectively with business stakeholders, data product owners, data engineers, analytics teams, and governance organization

s.
Key Responsibilit

iesData Architecture & Solution Des

• ignDefine and maintain the target-state architecture for the Digital Brain (a central data repositor
• y).Establish architecture principles, standards, patterns, and reference designs for analytics data asse
• ts.Conduct architecture reviews to ensure alignment with enterprise data strategies and technology standar
• ds.Partner with data engineering teams to design scalable, high-performing analytics solutio
• ns.Evaluate architectural impacts of new business requirements, data sources, and analytics use cas

es.Data Model

• ingDesign and maintain conceptual, logical, and physical data models for analytics and reporting use cas
• es.Leverage dimensional, data vault, and other analytical modeling approaches as appropria
• te.Ensure consistent representation of business concepts across data products and analytical domai
• ns.Create and maintain data lineage, metadata, and model documentati
• on.Support the evolution of semantic models that enable consistent business reporting and self-service analyti

cs.Data Standards & Governa

• nceDefine and maintain enterprise data standards, naming conventions, modeling standards, and design guidelin
• es.Establish reusable design patterns and best practices for data ingestion, transformation, storage, and consumpti
• on.Collaborate with Data Governance, Data Quality, and Metadata Management teams to improve data consistency and tru
• st.Support implementation of master and reference data standards across analytics asse
• ts.Drive adherence to approved data architecture standards and governance requiremen

ts.Ways of Working & Operating Model Developm

• entEstablish repeatable processes and best practices for data architecture and analytics solution delive
• ry.Define architecture engagement processes, design review procedures, and documentation standar
• ds.Create templates, playbooks, and frameworks for data product design and implementati
• on.Support intake, prioritization, and solution assessment activities for new reques
• ts.Promote a product-oriented and reusable approach to analytics asset developme

nt.Stakeholder Engagem

• entPartner with business leaders, analysts, engineers, and solution architects to understand data requiremen
• ts.Facilitate architecture workshops and design sessio
• ns.Translate business needs into scalable and sustainable data architecture solutio
• ns.Provide architecture guidance and mentorship to project teams and junior data modele

rs.
Required Qualificat

• ions10 years of experience in Data Architecture, Data Warehousing, or Analytics Architecture ro
• les.Strong expertise in enterprise data modeling methodologies, including dimensional modeling and modern analytics data architectu
• res.Experience designing and implementing centralized analytics platforms, data warehouses, or lakehouse environme
• nts.Deep understanding of data governance, metadata management, data quality, and data lifecycle managem
• ent.Experience developing enterprise data standards and architecture framewo
• rks.Demonstrated ability to work across business and technical te
• ams.Strong communication and presentation skills with the ability to engage both technical and business stakehold

ers.
Preferred Qualifica

• tionsExperience with modern cloud analytics platforms such as Databricks, Snowflake, Azure, AWS, or Google C
• loud.Experience supporting semantic layer technologies and enterprise BI platf
• orms.Familiarity with data product operating models and domain-oriented data ownership conc
• epts.Experience with data catalog and metadata management solutions (e.g., Alation, Collibra, Purv
• iew).Knowledge of data quality frameworks and monitoring pract
• ices.Experience supporting AI, advanced analytics, and self-service reporting initiat

ives.
Expected Delive

• rablesTarget-state analytics architecture and roa
• dmaps.Conceptual, logical, and physical data m
• odels.Architecture standards, principles, and reference pat
• terns.Data design and modeling guide
• lines.Architecture review proc
• esses.Data product design templates and documentation stan
• dards.Architecture assessments and solution recommenda
• tions.Data lineage and metadata document