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Enterprise Data Architect; Azure, BI, SQL, Data Governance at Irving TX

Job in Irving, Dallas County, Texas, 75084, USA
Listing for: Jobs via Dice
Full Time position
Listed on 2026-02-14
Job specializations:
  • IT/Tech
    Data Engineer, Cloud Computing
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below
Position: Enterprise Data Architect (Azure, BI, SQL, Data Governance) at Irving TX

Overview

Role:
Enterprise Data Architect (Azure, BI, SQL, Data Governance)

Location:

Irving, TX - Day 1 Onsite

Duration:
Long-term Contract

The Azure Data Architect is the enterprise-wide technical leader responsible for designing, governing, and operating a unified data platform across on-prem, Azure, and Microsoft Fabric. The role integrates architectural strategy with platform ownership covering post merger integration, Lakehouse design, BI platform management, DBA oversight, Dev Ops deployments, observability, and security.

Core Responsibilities
  • Enterprise Data Architecture & Cloud Strategy
  • Architect modern enterprise data platforms across On Prem, Azure, and Fabric ecosystems.
  • Define architectural standards, reusable patterns, roadmaps, and modernization strategies.
  • Lead scalable ingestion, storage, transformation, and modeling frameworks.
  • Drive cloud adoption with a focus on resiliency, standardization, and business alignment.
Strategic Architecture & Enterprise Responsibilities
  • Post Merger Data Integration & Platform Consolidation
  • Consolidate data environments, pipelines, and models across acquired companies.
  • Integrate ERP, CRM, and operational systems into unified Lake/Lakehouse architectures.
  • Establish reusable ingestion and onboarding frameworks for future acquisitions.
  • Standardize canonical models and reduce duplicated or conflicting data assets.
Enterprise Lakehouse Architecture (Azure + Microsoft Fabric)
  • Design and operate Lakehouse architectures following Bronze/Silver/Gold patterns.
  • Govern Fabric work spaces, Lake houses, Pipelines, and semantic models.
  • Define and maintain enterprise KPI frameworks and shared semantic layers.
  • Ensure strong lineage, data quality, and operational observability.
Master Data Management (MDM) & Canonical Entity Design
  • Define canonical entities (Customer, Product, Vendor, Location, etc.).
  • Implement pragmatic MDM-lite or hybrid models that scale without unnecessary overhead.
  • Resolve identity conflicts, hierarchy mismatches, and attribute drift across systems.
  • Establish metadata, stewardship roles, and entity lifecycle governance.
Data Governance, Security & Compliance
  • Architect scalable governance models supporting acquisitions and enterprise growth.
  • Implement domain isolation, RLS/CLS, data certification, and metadata standards.
  • Ensure compliance with SOX, privacy, and corporate data security policies.
  • Partner with security teams to enforce consistent controls across platforms.
Platform Ownership & Operational Leadership

BI Platform Administration

  • Oversee Power BI, Fabric, and on prem BI platforms.
  • Govern workspace hierarchy, capacity usage, semantic models, and performance.
  • Ensure reliability, scalability, and governed data access.
  • SQL & DB2 DBA Leadership
  • Provide direction to SQL Server and DB2 DBAs for performance, HA/DR, and maintenance.
  • Govern schema lifecycle, environment consistency, and change management.
  • Support DB2 and legacy system modernization and migration strategies.
  • Production Deployments & Dev Ops
  • Govern CI/CD and deployment pipelines across On Prem, Azure, and Fabric.
  • Standardize automation, approvals, versioning, rollback, and SDLC practices.
  • Manage deployments for ADF, Logic Apps, Azure SQL/Synapse, Cosmos DB, and Fabric.
  • Observability, Monitoring & Orchestration
  • Architect end to end observability using New Relic.
  • Implement dashboards, telemetry, alerting, and workload reliability standards.
  • Govern enterprise scheduling and orchestration using Control M.
  • Drive proactive monitoring across pipelines, databases, and Fabric workloads.
Cross Functional Leadership
  • Provide architectural leadership and direction across data engineering, BI, and DBA teams to ensure alignment with enterprise data strategy.
  • Lead decision making on data platform patterns, governance standards, and modernization initiatives.
  • Mentor technical teams and drive adoption of best practices in cloud data engineering, Dev Ops, and Lakehouse architecture.
Required Technical Qualifications
  • 12 15+ years in enterprise data architecture and cloud analytics.
  • Expertise in data modeling, schema design, and large scale data systems.
  • Advanced hands on experience with ADF, Azure SQL, Synapse, and ADLS Gen
    2.
  • Strong SQL Server background with performance tuning expertise.
  • Experience with DB2/iSeries data structures and migration.
  • Familiarity with Cosmos DB/No

    SQL and Databricks/PySpark.
Preferred
  • Azure Dev Ops, CI/CD, and Infrastructure as Code (ARM/Bicep/Terraform).
  • Azure Entra  least privilege security architecture.
  • Azure cost governance and optimization.
  • Strong experience with Microsoft Fabric.
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