Data Engineering

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 governan