Jordan AI
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Data Architect

Irving, TX 75039

Category: Application Development Job Number: 44487 Location Requirements: On-Site

Job Description


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 workspaces, Lakehouses, 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

(Repositioned after Strategic responsibilities for better narrative flow.)

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 & DevOps

  • 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, DevOps, and Lakehouse architecture.

 

Technical Qualifications

Required

  • 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 Gen2.

  • Strong SQL Server background with performance tuning expertise.

  • Experience with DB2/iSeries data structures and migration.

  • Familiarity with Cosmos DB/NoSQL and Databricks/PySpark.

Preferred

  • Azure DevOps, CI/CD, and Infrastructure-as-Code (ARM/Bicep/Terraform).

  • Azure Entra ID and least privilege security architecture.

  • Azure cost governance and optimization.

  • Strong experience with Microsoft Fabric.

Meet Your Recruiter

Logan Ridgley

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About Irving, TX

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