Enterprise Data Architecture & Cloud Strategy

Business Centric Technology; Irving (TX); Hybrid; USD 130,000 - 170,000; Full time

Benefits offered by this job

Medical, dental, and vision with employer contributions

Healthcare FSA & telehealth options

Paid vacation, sick leave & holidays

Ongoing learning and development programs

Job summary

Business Centric Technology is looking for a strategic Enterprise Data Architect & Cloud Strategy in Irving, TX. This leader will modernize the enterprise data ecosystem using Azure and Microsoft Fabric, drive governance and compliance models, and guide data engineering best practices. Candidates should have over 10 years of experience in enterprise data architecture, with expertise in data modeling and cloud data platforms. Medical, dental, vision benefits, paid leave, and ongoing learning are included.

Qualifications

• 10+ years of experience in enterprise data architecture and modern analytics platforms.
• Deep expertise in data modeling, large-scale data systems, and cloud data platforms.
• Strong experience with Azure data services and modern Lakehouse architectures.

Responsibilities

• Shape the Enterprise Data Strategy.
• Design and evolve modern Lakehouse architectures across Azure and Microsoft Fabric.
• Drive data platform consolidation across acquired companies.
• Architect and oversee enterprise Lakehouse environments.
• Implement scalable governance models for data security.
• Guide best practices in CI/CD and operational reliability.

Skills

Enterprise data architecture

Azure data services

Data modeling

Cloud data platforms

Governance and compliance

Job description

We are seeking a strategic Enterprise Data Architect & Cloud Strategy to lead the design and modernization of our client’s enterprise data ecosystem across on-prem, Azure, and Microsoft Fabric. This leader will drive the evolution of their data platform, enabling scalable analytics, strong governance, and seamless integration across business systems and acquisitions.

This is a direct-hire position working on-site in Irving, TX, Monday through Thursday, with Fridays being work from home.

WHAT’S IN IT FOR YOU:

• Medical, dental, and vision with employer contributions
• Healthcare FSA & telehealth options
• Paid vacation, sick leave & holidays
• Ongoing learning and development programs

WHAT YOU’LL DO:

• Shape the Enterprise Data Strategy
• Design and evolve modern Lakehouse architectures across Azure and Microsoft Fabric. Define architectural standards, reusable patterns, and modernization roadmaps that enable scalable ingestion, transformation, and analytics across the enterprise.
• Drive data platform consolidation across acquired companies by integrating ERP, CRM, and operational systems into unified data environments. Establish repeatable onboarding frameworks and canonical data models to ensure consistency and scalability as the business grows.
• Build a Governed Enterprise Data Platform
• Architect and oversee enterprise Lakehouse environments using Bronze/Silver/Gold data patterns, shared semantic models, and standardized KPI frameworks. Ensure strong data lineage, quality, and observability across the platform.
• Define enterprise entities such as Customer, Product, Vendor, and Location, and implement pragmatic MDM strategies that resolve identity conflicts, hierarchy mismatches, and duplicate data across systems.
• Drive Governance, Security & Compliance
• Implement scalable governance models that support enterprise growth and acquisitions, including data certification, domain isolation, role-based access controls, and metadata standards, while ensuring alignment with security and regulatory requirements.
• Lead Platform Operations & Engineering Standards
• Provide architectural leadership across data engineering, BI, and DBA teams, guiding best practices in CI/CD, DevOps, monitoring, and operational reliability across Azure and on-prem platforms.

WHAT YOU’LL BRING:

• 10+ years of experience in enterprise data architecture and modern analytics platforms
• Deep expertise in data modeling, large-scale data systems, and cloud data platforms
• Strong experience with Azure data services and modern Lakehouse architectures
• Background guiding engineering teams and establishing enterprise data standards