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Data Architect

Irving, TX, US • Posted 5 days ago • Updated 7 hours ago

Full Time

On-site

Fitment

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Job Details

Skills

Roadmaps
Storage
Modeling
FOCUS
Business-IT Alignment
Mergers and Acquisitions
Data Integration
Enterprise Resource Planning
Customer Relationship Management (CRM)
Onboarding
KPI
Data Quality
Master Data Management
Mobile Device Management
Data Governance
Acquisition
Meta-data Management
Regulatory Compliance
Sarbanes-Oxley
Privacy
Data Security
Microsoft Power BI
Semantics
Scalability
SQL
High Availability
Change Management
Legacy Systems
Software Development Methodology
Management
New Relic
Dashboard
Scheduling
Orchestration
BMC Control-M
Database
Leadership
Business Intelligence
Database Administration
Decision-making
Mentorship
Data Engineering
Data Architecture
Cloud Computing
Analytics
Data Modeling
ADF
SQL Azure
Microsoft SQL Server
Performance Tuning
IBM DB2
IBM iSeries
Data Structure
Migration
Cosmos-Db
NoSQL
Databricks
PySpark
DevOps
Continuous Integration
Continuous Delivery
ARM
Terraform
Security Architecture
Microsoft Azure
Optimization
Microsoft

Summary

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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: bravo
Position Id: 1a0f07933694f224e7e9a2a3759eaea9
Posted 5 days ago

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