Data Engineering & Platform Manager

Job Description

Job Description

COMPANY DESCRIPTION

At AirLife, we are dedicated to improving the quality of every breath. Excellence with Every Breath is not just a tag line, but the way we work and take care of our customers. With a mindset to evolve, innovate, and grow, we are a premier manufacturer of the highest-quality and market-leading breathing consumables. This growth philosophy has positioned us to increase our global footprint and business reach, impacting even more people around the world. Our expanding family of the most trusted brands offers a product portfolio that spans the continuum of care from first responder to home care, with safety, patient comfort, and clinical performance in mind. Collective expertise allows us to provide quality products and experiences to our patients, customers, and our people. Our values of Customer first, Differentiate with our People, Bias for Action, Continuous Improvement and Accountability define who we are and how we work. Join us!

POSITION SUMMARY

The Data Engineering & Platform Manager is AirLife's technical owner of the enterprise data platform — responsible for building, governing, and continuously improving the data infrastructure that powers AirLife's analytics and AI capabilities. This role owns the Databricks environment and all associated data pipelines, ensuring that data flowing into the platform is accurate, well-governed, and accessible to the business intelligence and AI consumers who depend on it. As AirLife's analytics and AI ambitions grow, this role serves as the foundational layer — designing the data architecture, enforcing data quality and governance standards, and enabling the organization to trust and act on its data with confidence.

POSITION QUALIFICATIONS

Knowledge, Skills, & Abilities: 

• Deep hands-on expertise with Databricks, including Unity Catalog, Delta Lake, Databricks Workflows, and the Lakehouse architecture pattern.
• Experience leading a team and managing, mentoring, and evaluating team members
• Experience designing and implementing end-to-end data pipelines using Azure Data Factory, Databricks Workflows, or equivalent orchestration tooling.
• Strong proficiency with Microsoft Azure data services, including Azure Data Lake Storage Gen2, Azure Synapse Analytics, and Azure SQL.
• Demonstrated experience implementing data governance frameworks, including data cataloging, data lineage, metadata management, and data quality rule enforcement.
• Proficiency in SQL and Python for data engineering; PySpark experience strongly preferred.
• Working knowledge of data modeling principles, including dimensional modeling and medallion architecture (bronze/silver/gold).
• Experience integrating enterprise source systems into modern data platforms; ERP integration experience required (SAP preferred; Microsoft Dynamics GP a plus).
• Understanding of data access controls, row-level security, and data classification within a governed enterprise platform.
• Ability to translate business analytics and AI requirements into scalable, maintainable data platform solutions.
• Experience with Databricks cost management, cluster optimization, and Azure billing analysis preferred.
• Familiarity with regulatory data environments, including data governance requirements in FDA-regulated or ISO-certified manufacturing settings, preferred.
• Experience with dbt (data build tool) or equivalent transformation frameworks a plus.

Level of Experience:

7–12 years of data engineering experience, including 3+ years of hands-on Databricks administration and pipeline development in an enterprise environment. Manufacturing, healthcare, or life sciences data environment experience preferred.

Level of Education:

Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field. Databricks Certified Data Engineer or equivalent Azure data certification preferred.

Travel:

Up to 15% as required by the business.

ESSENTIAL DUTIES AND RESPONSIBILITIES

• Own and administer the AirLife Databricks environment end-to-end, including workspace management, Unity Catalog governance configuration, cluster lifecycle management, access control administration, and platform performance optimization.
• Supervise staff including setting goals, mentoring staff, ensuring proper training and preparation for team assignments, and performance management
• Design, build, and maintain scalable, reliable data pipelines that ingest, transform, and deliver data from AirLife's source systems — including SAP ECC, Microsoft Dynamics GP, Salesforce, and other operational platforms — into the Databricks Lakehouse in a governed, auditable manner.
• Establish and enforce data governance standards across the Databricks platform, including data cataloging and discovery, metadata management, data lineage tracking, data quality rule definition and monitoring, and alignment with AirLife's master data standards.
• Define, implement, and maintain AirLife's medallion data architecture (bronze/silver/gold or equivalent), ensuring that raw, cleansed, and business-ready datasets are clearly separated, documented, and fit for their intended consumption purpose.
• Partner closely with the AI Lead, business analytics managers (Commercial Analytics, Supply Chain Analytics, Master Data), and FP&A to understand data consumption requirements and ensure the platform's structure, latency, and data quality meet both current and evolving business needs.
• Monitor data pipeline health, platform performance, and data quality metrics on an ongoing basis; proactively identify, diagnose, and resolve issues before they impact downstream analytics or AI consumers.
• Manage AirLife's commercial relationship with Databricks, including license governance, cost monitoring against budget (including Databricks spend currently embedded in Azure billing), and platform optimization to drive cost efficiency.
• Define and document data engineering standards, pipeline development patterns, and platform runbooks to ensure the environment is maintainable, auditable, and capable of scaling with the team.
• Lead data integration design reviews and support the evaluation of new data source onboarding, ensuring that integration patterns are consistent, governed, and aligned with the enterprise data architecture.
• Contribute to AirLife's broader data and analytics strategy by providing technical input into architecture decisions, roadmap prioritization, and data capability development discussions led by the VP of Data, Analytics & AI.

OTHER RESPONSIBILITIES

• Uphold and embody AirLife's values in all aspects of work.
• Demonstrate accuracy and thoroughness in daily work; look for ways to improve and promote quality & safety.
• Inspire the trust of others; treat people with respect and dignity and embrace the value of diversity.
• Use time efficiently; perform job accurately, thoroughly, and conserve Company resources to improve profits.
• Contribute to building and maintaining a positive team environment.
• Assure all policies and guidelines are implemented and followed.

QUALITY POLICY

At AirLife, Quality is our promise. It is our commitment to customer satisfaction and our dedication to product excellence in an evolving global healthcare market. This promise is kept through a continuously improving and effective Quality Management System and compliance to Regulatory Requirements.

DEIA STATEMENT

At AirLife, we are committed to building a diverse workforce and an inclusive workplace that reflects the communities and customers we serve. We believe our philosophy on Diversity, Equity, Inclusion, and Advancement (DEIA) encourages excellence and equips us to serve an evolving global marketplace.

Please note: The responsibilities outlined above are not exhaustive and may evolve over time. The role holder may be required to undertake additional duties as reasonably expected to meet the needs of the company.

Benefits

AirLife offers a comprehensive benefits package, including medical, dental, and vision coverage, 401(k), paid time off, paid holidays, bereavement leave, Employee Assistance Program resources, and medical leave benefits, subject to applicable eligibility requirements. Certain positions may also be eligible for bonus, commission, or other incentive compensation.