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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Data Specialist - **Company:** McKesson Medical-Surgical MediMart Inc. - **Location:** United States - **Experience:** Expert - **Salary:** $122,100.0 - $162,800.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Microsoft Azure, Big Data, Software as a Service, Code Review, Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), Infrastructure as a Service (IaaS), Python (Programming Language), Metadata, Platform as a Service (PAAS), Power BI, SQL Databases, Tableau (Software), Strategies of Testing, Scripting, Azure Data Factory, Snowflake, Technical Debt, Infrastructure as Code (IaC), Data Strategy, Build Management, Pyspark, Apache Kafka, Data Pipelines, Confluent, Databricks - **Published:** October 1, 2026 - **Apply:** https://www.ultimatejobs.com/jobs/736760355/apply ## About the Role * Recognized expertise in data engineering and analytics within large, enterprise environments. * Strong ability to independently lead complex technical initiatives with minimal oversight. * Proven experience influencing technical direction and mentoring other engineers without formal people-management responsibility. * Deep understanding of data architecture, ETL/ELT patterns, and large-scale data processing. * Strong stakeholder communication and collaboration skills. Technical Skills * Advanced proficiency in SQL, Python, and scripting. * Strong hands-on experience with: + Databricks, Snowflake, Azure Data Factory + Confluent Kafka / Azure Event Hub + PySpark and analytical SQL + Power BI and/or Tableau + Apache Airflow, dbt, Alation * Strong understanding of data modeling, metadata, lineage, and data quality practices. * Experience with cloud platforms (SaaS, PaaS, IaaS). * Experience implementing automation and Infrastructure as Code (IaC). * Ability to support advanced analytics and ML enablement (non-pure DS focus). Minimum Requirements * Degree or equivalent and typically requires 10+ years of relevant experience., * Experience leading enterprise-scale or BU-wide data initiatives. * Exposure to real-time, event-driven data architectures. * Familiarity with data governance programs and stewardship responsibilities. * Experience experimenting with emerging data and AI technologies. * Background in highly regulated or complex business environments. ## Description The Lead Data Specialist is a senior individual contributor within McKesson's Decision Intelligence organization, responsible for leading the design, delivery, and operationalization of scalable data engineering and analytics solutions across the PSaS Business Unit. This role serves as a technical leader and player-coach, combining deep hands-on engineering with solution leadership, mentorship, and cross-functional influence., * Lead end-to-end technical delivery for complex data engineering initiatives or domains. * Serve as a senior technical point of contact for data engineering within cross-functional squads. * Design and build scalable, reliable batch and real-time data pipelines across internal and external systems. * Lead solution design and influence architectural decisions in collaboration with Data Architects and enterprise teams. * Define and uphold engineering standards, patterns, and best practices aligned with enterprise data strategy. * Mentor and guide data engineers through design reviews, code reviews, and technical coaching. * Ensure quality, reliability, performance, and long-term maintainability of data products. * Partner with Product Managers, Data Scientists, Analysts, and business stakeholders to translate analytical requirements into scalable solutions. * Drive an automation-first and reusability-focused mindset across data engineering solutions. * Oversee testing strategies, production readiness, observability, and operational stability of data pipelines. * Proactively identify technical debt and lead remediation efforts. * Enable advanced analytics and ML use cases through optimized data models and pipelines. * Communicate technical designs, tradeoffs, risks, and outcomes clearly to stakeholders. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Fully Orchestrating Databricks from Airflow](https://www.wearedevelopers.com/videos/336-fully-orchestrating-databricks-from-airflow) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)