Sr Manager, Data Engineering

Lincare Holdings Inc.; Clearwater, Northern (FL, KY); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Lincare Holdings Inc. is seeking a Sr Manager, Data Engineering to lead the delivery and operational excellence of enterprise data platforms, integration services, and engineering capabilities.

You will drive modernization of data ecosystems across cloud and Lakehouse-based platforms while ensuring reliability, cost efficiency, and security. You will mentor data engineering leaders, manage hybrid teams, and partner with Governance, Analytics, Security, and business stakeholders to meet

Qualifications

• Bachelor’s Degree in Computer Science, Information Systems, Engineering, Analytics, or related field; or equivalent combination of education and experience, Required
• 8–12 years of progressive data engineering, data integration, data platform delivery, or enterprise data architecture, Required
• 5–8 years of leadership managing data engineering teams, technical leads, or managers in a complex enterprise environment, Required
• Managing hybrid delivery teams that include internal staff, external vendors, consultants, contractors, and distributed resources, Required
• Demonstrated background leading data engineering teams, establishing standards and operating practices, and supporting modernization of data platforms and integration capabilities, Required
• Strong expertise with SQL, ETL/ELT patterns, orchestration frameworks, and modern cloud or hybrid data platforms, Required
• Leading delivery of scalable data pipelines, platform operations, and production support with focus on reliability, performance, and cost efficiency, Required
• Preferred: cloud or Lakehouse modernization initiatives using Azure, AWS, Snowflake, Databricks, or Microsoft Fabric
• Preferred: experience in regulated environments with governance and security requirements
• Preferred: collaboration with analytics, governance, security, and business leaders to enable enterprise data capabilities
• Preferred: familiarity with Agile, product-oriented engineering, and DevOps/DataOps approaches

Responsibilities

• Leads day-to-day execution and continuous improvement of enterprise data engineering capabilities and platform services
• Leads architecture and engineering decisions for scalable, secure, and resilient data platforms
• Drives modernization of data ecosystems through cloud and Lakehouse-based platforms
• 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 and tooling to improve delivery consistency and scale
• Leads, mentors, and develops data engineering managers, technical leads, and ICs
• Drives performance management, succession planning, and career development
• Manages hybrid teams to ensure coordinated delivery and consistent operating practices
• Supports organizational design, hiring, and workforce planning for platform needs
• Ensures data quality, control, and observability standards across pipelines
• Partners with governance, privacy, and security leaders for regulatory compliance and risk mitigation
• Champions engineering practices that protect sensitive data and enterprise governance objectives
• Collaborates with analytics, governance, security, infrastructure, and business leaders to align priorities
• Translates business demand into scalable engineering solutions and delivery plans
• Defines and tracks engineering KPIs related to reliability, throughput, quality, service, and cost
• Drives continuous improvement across engineering processes and platform operations

Skills

SQL

ETL/ELT

Orchestration

Cloud platforms

Education

Bachelor’s Degree in CS/IS/Engineering/Analytics or related

Tools

Azure

AWS

Snowflake

Databricks

Microsoft Fabric

Job description

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

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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