Are you looking to power the next leap in the exciting world of advanced electronics Do you want to help solve problems that drive success in the rapidly evolving technology and connectivity landscape Then bring your problem-solving, passion, and creativity to help us power the next leap in electronics.

At Qnity, we're more than a global leader in materials and solutions for advanced electronics and high-tech industries – we're a tight-knit team that is motivated by new possibilities, and always up for a challenge. All our dedicated teams contribute to making cutting-edge technology possible. We value forward-thinking challengers, boundary-pushers, and diverse perspectives across all our departments, because we know we play a critical role in the world enabling faster progress for all. Learn how you can start or jumpstart your career with us.

Introduction

Lead Data Engineer – Job Description

Qnity is a premier technology provider across the semiconductor value chain, empowering AI, high‑performance computing, and advanced connectivity. From groundbreaking solutions for semiconductor chip manufacturing, to enabling high‑speed transmission within complex electronic systems, our high‑performance materials and data integration expertise make tomorrow's technologies possible. More information about the company, its businesses and solutions can be found at www.qnityelectronics.com.

WHY JOIN US

Our purpose is Making tomorrow's technologies possible

To be a premier technology solutions provider across the semiconductor value chain, empowering AI, high performance computing, and advanced connectivity
Innovative portfolio built on decades of leading-edge products and solutions.
Mission-critical strategic Partner of Choice to fabs and industry leading OEMs.
Best-in-class operating model with excellence and consistency in performance, scalability, security, and reliability.

Role Description

The Lead Data Engineer designs, builds, and evolves scalable data solutions to support enterprise reporting, advanced analytics, and AI workloads. This role provides technical leadership across data architecture, engineering, delivery, and operations, while closely partnering with business stakeholders to translate requirements into high‑impact data solutions. The position focuses on execution excellence, innovation, continuous improvement, and mentoring team members while driving best practices across the data and analytics ecosystem.

Responsibilities

Partner closely with business to understand problems, shape requirements, and define data solutions with clear outcomes.
Lead and mentor the data engineering team, driving engineering best practices and delivery excellence.
Provide technical leadership across architecture, development, troubleshooting, and delivery to drive execution speed and quality.
Collaborate with Data Architects, Data Scientists, and Product Owners to enable business adoption of AI and advanced analytics driven decision making.
Drive innovation and continuous improvement by challenging existing processes and proposing new solutions.
Maintain and evolve the data platform for business reporting and AI workloads.
Partner with Data Product Owners to define clear technical designs and execution plans aligned with business outcomes.
Design and maintain scalable data ingestion frameworks supporting both batch and streaming use cases.

Education And Experience

Bachelor's degree in technology or engineering is required.
10-13 years of overall experience in Data & Analytics, including 5+ years of hands-on experience with Azure data engineering technologies.
3+ years of experience in leading data engineering teams or working in similar technical lead roles.
Strong experience in designing scalable, secure data solutions and building AI-ready data platforms.

Skill Requirements

Hands-on experience with Azure Data Factory (ADF), Databricks, PySpark & SQL.
Strong understanding of Databricks Unity Catalog for data governance and security, along with CI/CD using DevOps.
Proven experience in designing secure, scalable, and AI‑ready data solutions.
Ability to collaborate with business and technical stakeholders to gather requirements and deliver high‑impact data solutions.
Strong sense of ownership, accountability, and execution discipline across multiple initiatives.

KEY COMPETENCIES

Excellent communication skills, with the ability to handle high-impact business stakeholder interactions effectively.
Analytical thinking and judgment to evaluate complex problems and make sound architectural decisions considering scalability, security, and business impact.
Strong leadership and ownership, with the ability to mentor team and drive execution excellence and continuous improvement.

KEY SKILLS FUNCTIONAL COMPETENCIES (Mandatory)

Data Engineering & Architecture - Designs and delivers scalable, secure, and AI‑ready data solutions, including batch and streaming data ingestion.
Azure & Databricks - Strong hands‑on experience with Azure data services, ADF, Databricks, Unity Catalog, PySpark and SQL.
Stakeholder Collaboration - Effectively partner with Business, Architecture, Data science, and Product teams to translate requirements into impactful data solutions.
Relevant certifications in Azure, Databricks, Data Engineering, AI, or Data Governance are preferred.

Join our Talent Community to stay connected with us!

Qnity is an equal opportunity employer. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability or any other protected class. If you need a reasonable accommodation to search or apply for a position, please visit our Accessibility Page for Contact Information.

Qnity offers a comprehensive pay and benefits package. To learn more visit the Compensation and Benefits page.

We use Artificial Intelligence (AI) to enhance our recruitment process.

Azure Lead Data Engineer