Enterprise Data Platform Architect POST NUMBER: 221730

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, DevOps, 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 Business-Created PowerBI Assets / Governing Microsoft Fabric Workspaces / Semantic Models / Enterprise Reporting Standards Platform Modernization – Modernizing Legacy SQL Server Platforms / Eliminating Technical Debt / Leading Enterprise Cloud Migration / Platform Standardization Initiatives Enterprise Data Modeling / MDM – Designing Canonical Data Models / Semantic Layers / Enterprise Master Data Strategies Supporting Consistent Business Reporting Enterprise Data Governance – Implementing Metadata Management / Data Lineage / Data Quality / Security / Certification Standards Supporting Trusted Enterprise Data M&A Data Integration – Supporting M&A Data Integration / Platform Consolidation / Enterprise Data Onboarding DevOps / SDLC – Establishing CI/CD Pipelines / SDLC Standards / Deployment Automation / Version Control | Supporting Enterprise Data Platform Delivery Technical / Cross-Functional Leadership – Providing Enterprise Architecture Leadership While Partnering Across Data Engineering / BI / DBA / Infrastructure / Security Teams Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual’s skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company’s 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products.