Azure Solutions Architect Expert

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, Finance Metadata Budgeting Templates Operations Leadership Management Investments Forecasting Informatica Real Estate Data Quality Communication Data Analysis Presentations Virtual Teams Look And Feel, 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

• 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., Microsoft Word System Support Time Management Problem Solving Data Governance Data Management Library Science Business Process Project Planning Computer Science Machine Learning Agile Methodology Analytical Skills Quality Assurance Business Analysis Project Management Influencing Skills Strategic Planning Policy Development Workflow Management Resource Management Process Engineering Conflict Management Collibra (Software) Microsoft PowerPoint Operations Management Business Intelligence Digital Transformation Information Management Commercial Real Estate Business Administration Artificial Intelligence Effective Communication Relationship Management Communications Protocols Ability To Meet Deadlines Change Management Strategy Standard Operating Procedure Scrum (Software Development) Ethical Standards And Conduct Management Information Systems Artificial Intelligence Infrastructure +0

Google IT Automation with Python, Dallas, TX*On-Site Tooling Power BI Dashboard Usability Operations Leadership Management Governance Innovation Mitigation Scalability Investments Reliability Coordinating Communication Data Analysis Decision Making Data Governance Demand Planning Risk Governance Computer Science Value Realization Influencing Skills Data Visualization Workflow Management Information Technology Balancing (Ledger/Billing) Continuous Improvement Process Key Performance Indicators (KPIs) Tableau (Business Intelligence Software) +0

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here.

Our Base Pay Range for this position

$162,900 - $271,500

McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:

McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.

McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.

McKesson job postings are posted on our career site: careers.mckesson.com.

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. We are seeking an exceptional Director of Data Engineering to join McKesson Technology US Pharmaceutical Distribution (USPD) Decision Intelligence organization and lead the execution of design, development, and optimization of USPD data products. This role involves setting the technical vision, managing high-performing teams, and aligning data strategy with business objectives while managing large-scale data products built on modern data stack. This role involves collaborating with stakeholders to align data capabilities with business objectives and overseeing data governance, security, and best practices. The successful candidate will combine deep technical expertise with proven leadership capabilities to deliver high-impact data solutions that power critical business decisions across our USPD portfolio.