Enterprise Data Platform Architect

Enterprise Data Platform Architect

Location:

Irving, TX 75039 (4days [M-TH] per week onsite). Position Type:
Direct-Hire. Hourly / Salary: to $170K+ (based on experience level).

Vaco is currently seeking a Data Architect for a Direct-Hire opportunity located in Irving, TX. The Enterprise Data Platform Architect will modernize and standardize the enterprise data ecosystem as it continues to grow through acquisitions. The 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 Architect 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 is 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 to support continued growth.

• Enterprise Platform Governance / Professionalization / Standardization – Governing PowerBI / MS Fabric / SQL Server / DB2 environments while standardizing enterprise platforms, eliminating technical debt, and establishing CI/CD, monitoring, observability, and production data operations.
• Enterprise Observability / Orchestration – Establishing enterprise monitoring, telemetry, alerting, New Relic observability, and Control‑M scheduling standards supporting reliable, highly available data platforms.
• Enterprise Security / Access Controls – Defining RLS/CLS, metadata standards, and compliance to support secure enterprise analytics.
• Enterprise Lakehouse Architecture – Designing governed, scalable lakehouse platforms integrating ERP, CRM, and operational systems.
• Enterprise Data Standards / Governance – Defining enterprise data modeling, MDM, metadata, data lineage, data stewardship, semantic layer, data quality, and security standards to support trusted data.
• Post‑Merger Data Integration – Leading data integration, platform consolidation, and cloud modernization initiatives to support current and future acquisitions.
• Business / Technology Partnership – Partnering with business and technology leadership to deliver scalable, secure, and acquisition‑ready data platforms that support analytics and business intelligence.
• Technical Leadership / Knowledge Transfer – Providing architectural direction, mentoring data engineering, BI, and DBA teams, and partnering with consulting resources to ensure successful knowledge transfer and long‑term platform ownership.

• Enterprise Data Architecture (8+ years) – Designing platforms across hybrid OnPrem SQL Server/DB2/MS Azure/MS Fabric environments.
• Enterprise Data Integration / Distribution – Integrating ERP/CRM/operational systems and defining data syndication strategies to support analytics and downstream applications.
• MS Data Platform – Designing MS Fabric lakehouse architectures (Azure Data Factory, Azure SQL, Azure Synapse, ADLS Gen2) to support reporting, analytics, and operational consumption.
• SQL Server / DB2 Architecture – Designing and optimizing enterprise SQL Server/DB2 environments (performance tuning, HA/DR, database optimization, platform standardization).
• Enterprise BI Governance – Standardizing PowerBI assets, governing Microsoft Fabric work spaces, semantic models, and reporting standards.
• Platform Modernization – Modernizing legacy SQL Server platforms, eliminating technical debt, and leading cloud migration and standardization initiatives.
• Enterprise Data Modeling / MDM – Designing canonical data models, semantic layers, and master data strategies to support consistent reporting.
• Enterprise Data Governance – Implementing metadata management, data lineage, quality, security, and certification standards.
• M&A Data Integration – Supporting M&A integration, platform consolidation, and onboarding.
• Dev Ops / SDLC – Establishing CI/CD pipelines, SDLC standards, deployment automation, and version control to support…