Sr Manager, Data Engineering

The Sr Manager, Data Engineering leads the delivery and operational excellence of enterprise data platforms, integration services, and engineeringcapabilities. Accountable for building scalable, secure, and reliable data foundations that enable analytics,governance, and business priorities across the organization Provides leadership across platform operations,engineering standards, delivery execution, and team development, while partnering closely with Analytics,Governance, Information Security, and business stakeholders to support compliance requirements, service reliability, and operational efficiency

JOB FUNCTIONS

Leads day-to-day execution and continuous improvement of enterprise data engineering capabilities andplatform services Leads architecture and engineering decisions for scalable, secure, and resilient data platforms Drives modernization of data ecosystems through practical improvements to cloud and Lakehouse-basedplatforms Owns platform performance, reliability, cost efficiency, and service maturity Oversees delivery of enterprise data pipelines, integrations, and shared engineering services Ensures production-ready data assets and engineering solutions meet service, quality, and security expectations Establishes and enforces engineering standards, design patterns, and operational best practices Manages delivery planning, backlog prioritization, dependencies, and execution across multiple initiatives Defines enterprise standards for ingestion, transformation, orchestration, monitoring, and supportability Embeds governance, metadata, lineage, and data quality practices into engineering workflows Enables reusable frameworks, accelerators, and tooling that improves delivery consistency and scale Leads, mentors, and develops data engineering managers, technical leads, and individual contributors Drives performance management, succession planning, capability building, and career development Manages hybrid teams composed of internal employees, external partners, contractors, and offshore ornearshore resources to ensure coordinated delivery, accountability, and consistent operating practices Supports organizational design, hiring, and workforce planning to meet evolving platform and delivery needs Ensures data quality, control, and observability standards are embedded across pipelines and platform services Partners with governance, privacy, and security leaders to support regulatory compliance, audit readiness, andrisk mitigation Champions engineering practices that protects sensitive data and supports enterprise governance objectives Partners with analytics, governance, security, infrastructure, and business leaders to align engineering prioritieswith enterprise needs Translates business demand into scalable engineering solutions, delivery plans, and operational priorities Defines and tracks engineering KPIs related to reliability, throughput, quality, service, and cost Drives continuous improvement across engineering processes, platform operations, and delivery performance Qualifications. Education Bachelor'sDegreein Computer Science, Information Systems, Engineering, Analytics, or a related field; or equivalent combination of education and experience,Required Work Experience Relevant leadership and technical background should demonstrate the ability tomanage data engineering delivery, lead teams, and support reliable enterprise dataplatform operations 8--12 years of progressive data engineering, data integration, dataplatform delivery, or enterprise data architecture, Required 5--8 years of leadership managing data engineering teams, technicalleads, or managers in a complex enterprise environment, Required managing hybrid delivery teams that include internal staff, externalvendors, consultants, contractors, and distributed resources, Required Demonstrated background leading data engineering teams, establishing standardsand operating practices, and supporting modernization of data platforms andintegration capabilities, Required Strong expertise with SQL, ETL/ELT patterns, orchestration frameworks, andmodern cloud or hybrid data platforms, Required leading delivery of scalable data pipelines, integrations, platformoperations, and production support with a focus on reliability, performance, and costefficiency,Required leading cloud or Lakehouse modernization initiatives using platformssuch as Azure, AWS, Snowflake, Databricks, or Microsoft Fabric, Preferred working in regulated environments such as healthcare, finance, or othercompliance-focused industries with strong governance and security requirements, Preferred partnering with analytics, governance, security, and business leaders tosupport platform priorities and enable enterprise data capabilities, Preferred Familiarity with Agile delivery models, product-oriented engineering practices, andDevOps or DataOps approaches, Preferred Knowledge, Skills, and Abilities Strong expertise with SQL, ETL/ELT patterns, orchestration frameworks, and modern cloud or hybriddata platforms manage cross-functional priorities, resource planning, and stakeholder alignment across multiple initiatives and business partners Strong communication, executive presence, team development, and collaboration EEO is The Law - click here for more information Equal Opportunity Employer Minorities/Women/Protected Veterans/Disabled Lincare is an equal opportunity employer, access and affirmative action employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, creed, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law. Lincare provides reasonable accommodations for qualified individuals with disabilities. Because Lincare believes in providing a safe work environment, we conduct drug and background checks in our recruiting/hiring processes. AA/EOE, M/F/Disabled/Veterans #J-18808-Ljbffr Lincare Holdings Inc.