About this opportunity
Vantage Elevation, LLC lists this Enterprise Data Architect opportunity in northern, Kentucky. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Job Details
Job Location: Off-Site (E) - Bronx, NY 10451
Position Type: Full Time
Job Category: Salary Exempt
Enterprise Data Architect
Regular Position | Full-Time | Remote
If you are a forward-thinker interested in building enterprise data strategy, strengthening data governance, and creating scalable data architecture across a growing organization, then keep reading! We are searching for an experienced Enterprise Data Architect to join our Vantage Elevation team.
About Us
Vantage Elevation, LLC is North America’s leading independent manufacturer of elevator components and systems. Vantage is comprised of eight business units, including GAL Manufacturing, GAL Canada, Hollister-Whitney, Elevator Controls, Courion, Bore-Max, Thames Valley Controls, and Vertical Dimensions.
Through its brands, Vantage supplies nearly all of the electro-mechanical devices used in contemporary elevators. Founded in 1927, the Vantage group employs more than 900 team members across multiple locations in the United States, Canada, and the United Kingdom.
About the Role
The Enterprise Data Architect is responsible for designing and evolving Vantage Elevation’s enterprise data landscape across master data governance (MDG), master data management (MDM), and data warehousing and analytics.
This role will translate business requirements from Finance, Sales, Operations, and Engineering into scalable, well-governed data architecture spanning our ERP (Infor Visual), CPQ (Tacton), CRM (Salesforce), and analytics platforms (Microsoft Fabric / SQL Server).
The Enterprise Data Architect will partner closely with the Master Data Governance Council, domain application managers, and business stakeholders to ensure data is accurate, consistent, well-modeled, and readily available for reporting and decision-making across Vantage’s multi-site, engineer-to-order and configure-to-order manufacturing environment.
Requirements
We are searching for a candidate with:
Bachelor’s degree in Computer Science, Information Systems, Data Management, or a related field; equivalent experience will be considered
7+ years of experience in data architecture, master data management, or enterprise data warehousing, ideally within a manufacturing or industrial environment
Demonstrated experience designing and implementing MDM and/or MDG programs, including governance frameworks, stewardship models, and data quality metrics
Strong data modeling skills, including dimensional and entity-relationship modeling
Hands-on experience with SQL Server, data warehousing, and modern analytics platforms such as Microsoft Fabric, Power BI, or equivalent
Experience with ERP and CPQ data structures; experience with Infor Visual and Tacton is strongly preferred
Familiarity with integration platforms and API-based data synchronization patterns
Excellent communication skills with the ability to translate complex technical data concepts for business stakeholders and executive audiences
Experience supporting ERP migrations or major system upgrades from a data architecture perspective is a plus
Experience within a private-equity-owned or multi-site discrete manufacturing environment, particularly engineer-to-order or configure-to-order, is preferred
Familiarity with data governance and MDM tooling evaluation
CDMP (Certified Data Management Professional), DAMA-DMBOK familiarity, Microsoft Fabric/Azure Data certifications, or similar credentials are a plus
Experience chairing or actively supporting a formal data governance council or committee is preferred
Duties and Responsibilities
A typical day may include:
Master Data Governance (MDG)
Serve as the architectural lead supporting the Master Data Governance Council and help define and maintain data governance policies, standards, and stewardship models across customer, item, supplier, and site master domains
Design and maintain data quality rules, ownership matrices, and approval workflows for the creation, modification, and retirement of master data records
Define and track data quality KPIs, including completeness, accuracy, timeliness, and duplication rates, and lead root-cause analysis and remediation of recurring data quality issues
Document and maintain data lineage, business glossaries, and data dictionaries for critical master and reference data entities
Facilitate cross-functional governance forums and drive alignment between IT and business data owners on policy exceptions and process changes
Master Data Management (MDM)
Architect and support the selection and implementation of MDM tooling and integration patterns to synchronize master data across Infor Visual ERP, Tacton CPQ, and Salesforce
Design golden-record strategies, matching and merge rules, and survivorship logic for key domains, including customer, item, vendor, and site data
Define integration and data synchronization patterns in partnership with the Integrations domain manager, leveraging MuleSoft for real-time and batch master data flows
Establish data stewardship workflows and exception-handling processes for conflicting or duplicate records across source systems
Support M&A and site-expansion data onboarding, ensuring new business units are incorporated into the enterprise master data model with minimal disruption
Data Warehousing & Analytics
Own the logical and physical data architecture for the enterprise data warehouse (SQL Server) and broader analytics platform (Microsoft Fabric), including dimensional models, semantic layers, and data marts
Design ETL/ELT pipelines and data integration flows from transactional systems, including Visual, Tacton, Salesforce, OneStream, Esker, and DocuWare, into the warehouse and Fabric lakehouse
Partner with FP&A, Operations, and Sales leadership to translate reporting and analytics requirements into scalable data models and self-service semantic models
Define standards for data modeling, naming conventions, version control, and documentation across the analytics environment
Monitor and optimize data pipeline performance, storage costs, and platform reliability
Establish monitoring and alerting for data pipeline failures and SLA breaches
Architecture, Strategy & Collaboration
Maintain and evolve Vantage’s enterprise data architecture reference model in alignment with the broader application and integration architecture
Evaluate emerging tools and platforms, including MDM suites, data catalogs, and PDM/MDM dependencies, and provide build-versus-buy recommendations to IT leadership
Produce architecture documentation, data flow diagrams, and governance artifacts appropriate for technical teams as well as executive and board audiences
Provide technical guidance and mentorship to domain application managers, including ERP, CPQ, and Integrations, on data-related design decisions
Ensure data architecture decisions support compliance, audit, and financial reporting requirements across U.S. and Canadian business units
Complete other projects and responsibilities as assigned
Benefits of Working With Us
Salary Range: $160,000–$230,000
Actual compensation will be determined based on experience, qualifications, geographic location, and in keeping with applicable local legislation.
Annual Bonus: Target bonus opportunity of 15%, subject to the terms and conditions of the Company’s annual incentive plan
Medical/Dental/Vision/Life Insurance
HSA
401(k) / Company Match / Non-Elective
Commuter Benefits (where applicable)
Generous Paid Time Off (PTO)
Tuition Reimbursement
Employee Assistance Program (EAP)
Plum Benefits
…and more!
Position Details
Full-Time
Regular Position
Department: IT
Location: Remote
General office and manufacturing plant environments may apply depending on business needs
Limited physical effort required
Equal Employment Opportunity
Vantage Elevation, LLC provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual
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Who can apply
Review the original listing for work authorization, qualifications and employer requirements.