Data Engineering and Analytics Manager (Databricks)

Location: hirify.global, NY, US; other locations include Charlotte, NC; Fairport, NY; Canton, NY; Keene, NH; and Tewksbury, MA.

Salary: $126,898–$174,486 annually for full-time employment.

Company

hirify.global develops glass, ceramic, and materials science technologies for markets including display optics, semiconductor components, aerospace and defense, telecommunications, and medical applications.

What you will do

• Lead the day-to-day management, support, and enhancement of the division’s data engineering environment, including Databricks and related cloud data platform capabilities.
• Build and maintain curated, trusted, reusable data assets for reporting, dashboards, self-service analytics, and business intelligence.
• Lead, coach, and develop internal data engineering resources and external partners where applicable.
• Drive data quality, governance, lineage, controls, and ownership across the data lifecycle with business and functional stakeholders.
• Partner with business stakeholders, enterprise IT, analytics teams, and governance partners to improve data reliability and usability.
• Establish delivery standards and build the data foundation for future advanced analytics, data science, and AI use cases.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related field.
• 5+ years of experience in data engineering, data integration, analytics engineering, or related data platform roles, including 2+ years leading teams, projects, or delivery efforts in a data and analytics environment.
• Hands-on experience with modern data platforms and cloud-based data engineering solutions, including Databricks or similar technologies.
• Strong experience designing, building, and supporting data pipelines, ETL/ELT processes, and curated data models.
• Experience with SQL and one or more programming or scripting languages such as Python or Scala.
• Experience working with BI, reporting, or analytics teams to support trusted data consumption.
• Strong understanding of data quality, governance, controls, metadata, and data lineage.
• Ability to work across business and technology teams and communicate effectively with technical and non-technical stakeholders.
• This position does not support immigration sponsorship.

Nice to have

• Experience in manufacturing, supply chain, operations, finance, or other complex enterprise environments.
• Experience with Azure, AWS, or GCP cloud data ecosystems.
• Familiarity with advanced analytics, machine learning, or AI data preparation requirements.
• Experience supporting enterprise-scale reporting and dashboard environments.
• Experience implementing or supporting data governance practices and operating models.
• Knowledge of DevOps, DataOps, CI/CD, and automated testing practices for data pipelines.

Culture & Benefits

• Full-time role with company-wide bonuses and long-term incentives tied to business results.
• Company-paid pension contributions and matching 401(k) contributions, with total retirement contributions of 7%–12% depending on age and years of service.
• Medical, dental, vision, paid parental leave, family-building support, fitness benefits, life insurance, disability coverage, paid time off, and an Employee Assistance Program.
• Recognition programs reward exceptional contributions.
• Equal employment opportunities and reasonable accommodations are available in accordance with applicable law.