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# Azure Solutions Architect Expert

- **Company:** CareerCircle
- **Location:** Irving, TX, United States
- **Experience:** Expert
- **Salary:** $162,900.0 - $271,500.0
- **Contract:** Permanent contract
- **Skills:** .NET Framework, Artificial Intelligence, Data Analysis, Business Logic, Microsoft Azure, Business Intelligence Development, Big Data, Code Generation, Data as a Services, Data Architecture, Information Engineering, Data Governance, Data Systems, Data Warehousing, DevOps, Event-Driven Programming, First Data, Python (Programming Language), Machine Learning, Performance Tuning, SAP (Applications), Scala (Programming Language), SQL Databases, Data Streaming, Enterprise Data Management, Azure Service Bus, Synapse Citrix, Data Processing, Data Ingestion, Azure Data Factory, Large Language Models, Snowflake, Generative AI, Data Strategy, Event Driven Architecture, Data Lakes, Information Technology, Cosmos DB, Data Management, Machine Learning Operations, Azure Synapse Analytics, Stream Analytics, Looker Analytics, Data Pipelines, Sql Tuning, Databricks, Programming Languages
- **Published:** June 8, 2026
- **Apply:** https://www.careercircle.com/jobs/all/all/usa/tx/irving/b821460c-52a9-4141-9bdd-309bd27ddf5c

## About the Role

* 12+ years experience of professional experience in related IT field with 4+ years experience in leadership, planning and communication roles., * Deep expertise in Microsoft Azure data services ecosystem (Azure Data Factory, Synapse Analytics, Data Lake Storage, Event Hubs, Cosmos DB)
 * Advanced proficiency with Databricks platform and advanced analytics workflows
 * Extensive experience with BI development, administration, and enterprise deployment
 * Strong foundation in modern data architectures, scalable Lakehouse using Medallion patterns and Unity Catalog; "RAG-ready" infrastructures and AI-driven data observability to automate quality and drift detection, real-time streaming, and event-driven systems
 * Proficiency in multiple programming languages (Python, Scala, SQL, .NET) and infrastructure

Additional Experience

 * Strong technical aptitude and experience with a wide variety of technologies
 * Ability to rapidly learn and if required evaluate a new tool or technology
 * Strong verbal & written communication skills
 * Demonstrated technical leadership experience
 * Be an innovative thinker
 * Must have a strong customer and quality focus
 * Have been successful in working across organizational boundaries, bringing together people with diverse perspectives and experience to find solutions to complex technical issues
 * Proven experience in architecting AI-First Data Platforms, leveraging Generative AI to automate data curation workflows and implementing RAG-ready architectures that serve both structured BI and unstructured LLM applications.
 * Azure certifications (Azure Data Engineer Associate, Azure Solutions Architect Expert)
 * Databricks certifications (Professional Data Engineer, Professional ML Practitioner)
 * Experience in regulated industries (healthcare, financial services, manufacturing), * Master's. Degree in Computer Science, Engineering or equivalent.

## Description

Writing
Planning
Operations
Leadership
Automation
Governance
Innovation
Data Lakes
Databricks
Scalability
Data Science
Disabilities
Communication
Observability
Data Strategy
Data Curation
.NET Framework
Data Ingestion
Data Pipelines
Synapse Citrix
Pharmaceuticals
Microsoft Azure
Data Governance
Code Generation
Data Processing
Azure Cosmos DB
Computer Science
Machine Learning
Data Engineering
Technical Acumen
Incident Response
Data Architecture
Advanced Analytics
Azure Data Factory
Financial Services
Talent Development
Business Decisions
Workflow Management
Business Objectives
Technical Leadership
Programming Languages
Emerging Technologies
Strategic Partnership
Business Intelligence
Continuous Development
Artificial Intelligence
Concept Drift Detection
Event-Driven Programming
SQL (Programming Language)
Scala (Programming Language)
Python (Programming Language)
Vendor Relationship Management
Business Intelligence Development
Generative Artificial Intelligence
Microsoft Certified: Azure Data Engineer Associate
Microsoft Certified: Azure Solutions Architect Expert, * Strategic Leadership

 * Partner with executives, business leaders, and technology stakeholders to define data architecture vision and roadmap
 * Drive innovation in data engineering practices, emerging technologies, and platform capabilities to maintain competitive advantage
 * Establish data engineering standards, best practices, and governance frameworks across the organization
 * Technical Excellence
 * Design, build, and maintain scalable and AI-ready data products leveraging Microsoft Azure ecosystem, ensuring efficient data ingestion, transformation, and storage.
 * Lead advanced implementation of Databricks for large-scale data processing, machine learning workflows, and real-time analytics
 * Organizational Leadership
 * Build, mentor, and lead a high-performing team of Data Engineering Directors, and technical specialists
 * Collaborate cross-functionally with Operations, Data Science, Analytics, IT, and Business Intelligence teams to deliver integrated solutions
 * Establish talent development programs, technical career progression paths, and engineering excellence initiatives
 * Foster culture of innovation, continuous learning, and technical excellence within the data engineering organization
 * Operational Excellence
 * Lead delivery of USPD data engineering products development in alignment with USPD DI Operations uptime, optimal performance, and cost efficiency
 * Implement comprehensive monitoring, alerting, and incident response capabilities for mission-critical data systems
 * Partner with Enterprise Data Platform team to implement automation and AI accelerator initiatives, and DevOps practices to enhance deployment speed and operational reliability
 * Manage technology budgets, vendor relationships, and strategic partnerships to optimize total cost of ownership
 * Leverage AI in Data Engineering lifecycle, accelerate code generation, and design and implement robust data pipelines (optimize SQL performance, and implement Self-Healing pipeline logic) supporting petabyte-scale data ingestion, transformation, and distribution
 * Ensure data platform security, compliance, and performance optimization across all environments, Irving, TX*Hybrid
Auditing
Coaching
Leadership
Management
Governance
Innovation
Scalability
Data Quality
Communication
Prioritization
Reconciliation
Business Logic
Pharmaceuticals
Data Governance
Data Management
SAP Applications
Safety Assurance
Product Strategy
Looker Analytics
Data Warehousing
Data Architecture
Advanced Analytics
Product Management
Acceptance Testing
Internal Reporting
Career Development
Strategy Execution
Product Requirements
Technology Ecosystems
Business Requirements
Snowflake (Data Warehouse)
Healthcare Industry Knowledge
Continuous Improvement Process
Employee Performance Management
+0
Director Data Engineering
MCKESSON
Irving, TX*On-Site
DevOps
Writing
Planning
Operations
Leadership
Automation
Governance
Innovation
Data Lakes
Databricks
Scalability
Data Science
Disabilities
Communication
Observability
Data Strategy
Data Curation
.NET Framework
Data Ingestion
Data Pipelines
Synapse Citrix
Pharmaceuticals
Microsoft Azure
Data Governance
Code Generation
Data Processing
Azure Cosmos DB
Computer Science
Machine Learning
Data Engineering
Technical Acumen
Incident Response
Data Architecture
Advanced Analytics
Azure Data Factory
Financial Services
Talent Development
Business Decisions
Workflow Management
Business Objectives
Technical Leadership
Programming Languages
Emerging Technologies
Strategic Partnership
Business Intelligence
Continuous Development
Artificial Intelligence
Concept Drift Detection
Event-Driven Programming
SQL (Programming Language)
Scala (Programming Language)
Python (Programming Language)
Vendor Relationship Management
Business Intelligence Development


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