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Enterprise Data Platform Architect

Job in Irving, Dallas County, Texas, 75084, USA
Listing for: Vaco Recruiter Services
Full Time position
Listed on 2026-07-21
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing, Database Administrator
Salary/Wage Range or Industry Benchmark: 170000 USD Yearly USD 170000.00 YEAR
Job Description & How to Apply Below

Enterprise Data Platform Architect

DETAILS

Location: Irving, TX 75039 (4days [M-TH] per week onsite)

Position Type: Direct-Hire

Hourly / Salary: to $170K+ (based on experience level)

JOB SUMMARY

Vaco is currently seeking a Data Architect for a Direct-Hire opportunity that is located in Irving, TX 75039 (4days [M-TH] per week onsite). The Enterprise Data Platform Architect will modernize and standardize the enterprise data ecosystem as it continues to grow through acquisitions. The Enterprise Data Platform Architect will define enterprise data architecture across OnPrem SQL Server / DB2 environments and MS Azure / Fabric, consolidating data from multiple ERP, CRM, and operational systems into a governed Lakehouse platform.

Beyond designing the architecture, the Enterprise Data Platform Architect individual will establish enterprise standards for data modeling, governance, master data, security, Dev Ops, and observability while providing technical leadership to Data Engineering, BI, and DBA teams. The primary objective of the Enterprise Data Platform Architect will be to establish a governed, enterprise-ready MS Fabric platform that restores consistency, standardization, and trusted enterprise reporting while building a scalable, acquisition-ready data foundation that supports continued growth through acquisitions.

  • Enterprise Platform Governance / Professionalization / Standardization – Governing PowerBI / MS Fabric / SQL Server / DB2 Environments While Standardizing Enterprise Platforms / Eliminating Technical Debt / Establishing CI/CD / Monitoring / Observability / Production Data Operations
  • Enterprise Observability / Orchestration – Establishing Enterprise Monitoring / Telemetry / Alerting / New Relic Observability / Control-M Scheduling Standards Supporting Reliable / Highly Available Enterprise Data Platforms
  • Establishing Enterprise Security / Access Controls / RLS / CLS / Metadata Standards / Compliance Supporting Secure Enterprise Analytics
  • Enterprise Lakehouse Architecture – Designing Governed / Scalable Lakehouse Platforms Integrating ERP / CRM / Operational Systems
  • Enterprise Data Standards / Governance – Defining Enterprise Data Modeling / MDM / Metadata / Data Lineage / Data Stewardship / Semantic Layer / Data Quality / Security Standards Supporting Trusted Enterprise Data
  • Post-Merger Data Integration – Leading Data Integration / Platform Consolidation / Cloud Modernization Initiatives Supporting Current / Future Acquisitions
  • Business / Technology Partnership – Partnering With Business / Technology Leadership to Deliver Scalable / Secure / Acquisition-Ready Data Platforms Supporting Enterprise Reporting / Analytics / Business Intelligence
  • Technical Leadership / Knowledge Transfer – Providing Architectural Direction / Mentoring Data Engineering / BI / DBA Teams While Partnering with Existing Consulting Resources to Ensure Successful Knowledge Transfer and Long-Term Platform Ownership
About the Project

This project is focused on transforming a fragmented enterprise data environment into a governed, enterprise-ready Microsoft Fabric platform. The goal is to standardize architecture, governance, and enterprise reporting across SQL Server, DB2, Azure, and Fabric while building a scalable Lakehouse that supports trusted analytics and simplifies future acquisition integrations.

JOB REQUIREMENTS
  • Enterprise Data Architecture (8+ years) – Designing Enterprise Data Platforms Across Hybrid OnPrem SQL Server / DB2 / MS Azure / MS Fabric Environments Supporting Modern Cloud Data Architectures
  • Enterprise Data Integration / Distribution – Integrating ERP / CRM / Operational Systems While Defining Enterprise Data Syndication Strategies Supporting Analytics / Downstream Applications / Operational Systems
  • MS Data Platform – Designing MS Fabric Lakehouse Architectures (Azure Data Factory / Azure SQL / Azure Synapse / ADLS Gen2) | Supporting Enterprise Reporting / Analytics / Operational Data Consumption
  • SQL Server / DB2 Architecture – Designing / Optimizing Enterprise SQL Server / DB2 Environments (Performance Tuning / HA/DR / Database Optimization / Platform Standardization)
  • Enterprise BI Governance – Standardizing…
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