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Director of Data Engineering

SotalentIrving, TXMay 2nd, 2026
Job Title : Sr Director , Data EngineeringLocation : Irving, Texas, United StatesJob Type : Full TimeOur Client is seeking an exceptional Senior Director of Data Engineering to lead enterprise‑scale data strategy and execution within a highly complex, mission‑critical distribution and decision intelligence environment.This role is responsible for defining and driving the vision for data engineering, overseeing the design, development, and optimization of modern data platforms and products that power high‑impact business decisions. The ideal candidate brings deep technical expertise, strong people leadership, and the ability to align data capabilities with strategic business objectives at scale.What You’ll DoStrategic LeadershipDefine and execute a comprehensive data engineering strategy aligned with business priorities and digital transformation initiativesPartner with executive, business, and technology leaders to shape data architecture vision and long‑term roadmapDrive innovation across data platforms, tools, and practices to maintain competitive advantageEstablish and enforce enterprise data engineering standards, governance frameworks, and best practicesTechnical ExcellenceArchitect and manage scalable, secure data platforms leveraging the Microsoft Azure ecosystemLead advanced implementations of Databricks for large‑scale data processing, real‑time analytics, and ML workflowsDesign and operate high‑volume data pipelines supporting petabyte‑scale ingestion, transformation, and distributionEnsure best‑in‑class performance, security, and regulatory compliance across data environmentsOrganizational LeadershipBuild, mentor, and lead a high‑performing data engineering leadership teamCollaborate across Data Science, Analytics, IT, BI, and Operations to deliver integrated enterprise solutionsEstablish talent development programs, career paths, and engineering excellence initiativesFoster a culture of innovation, accountability, and continuous learningOperational ExcellenceEnsure reliable delivery and operational stability of data products, aligned with uptime, performance, and cost targetsImplement robust monitoring, alerting, and incident response for mission‑critical systemsPartner with enterprise platform teams to implement DevOps and automation practicesManage budgets, vendor relationships, and strategic partnerships to optimize technology ROIDomain ExpertiseApply strong understanding of pharmaceutical distribution, including buy‑side/sell‑side models, contracts, pricing, and customer operationsLeverage knowledge of supply chain, manufacturer, and enterprise data products to inform platform strategyQualificationsMinimum QualificationsMaster’s degree in Engineering, Computer Science, or related field (or equivalent experience)15+ years of professional experience, including 10+ years in people leadership rolesBusiness ExperienceProven success leading enterprise‑scale digital transformation initiativesDemonstrated ability to build and scale high‑impact data engineering organizationsExperience with budget ownership, P&L considerations, and technology investment optimizationStrong understanding of data governance, regulatory compliance, and privacy requirementsAbility to clearly communicate complex technical concepts to executive and non‑technical audiencesTechnical SkillsDeep expertise in Microsoft Azure data services (ADF, Synapse, ADLS, Event Hubs, Cosmos DB)Advanced experience with Databricks and large‑scale analytics platformsStrong grounding in modern data architectures (data lakes, warehouses, streaming, event‑driven systems)Proficiency in Python, Scala, SQL, and .NET, with experience in infrastructure‑as‑code practicesExperience with enterprise BI development and deploymentPreferred QualificationsAzure and Databricks certificationsExperience in regulated industries (healthcare, finance, manufacturing)Familiarity with enterprise AI/ML platform developmentPrior experience in large, highly complex enterprise organizationsExposure to SAP functional data domains