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.

Data Platform Specialist – Databricks, Job Description:

INTRODUCTION:

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 Data Platform Specialist – Databricks builds, and evolves intelligent data platforms to support enterprise reporting, advanced analytics, and AI workloads, while providing technical expertise in platform engineering, optimization, security, and governance. The role focuses on building advanced analytics platforms using the Databricks, Unity Catalog, and Microsoft AI capabilities to deliver scalable, secure, and high-performance data and AI solutions, while driving continuous improvement, innovation, and best practices across the data and AI-Ops ecosystem.

RESPONSIBILITIES

• Translate business requirements into data-driven solutions using AI and advanced analytics
• Design and develop scalable data pipelines, Lakehouse architecture, and AI workflows
• Ensure performance, reliability, and continuous optimization of enterprise data platforms and reporting systems
• Implement security and governance best practices using Unity Catalog and platform controls
• Enable cross-platform data interoperability through modern integration patterns and Microsoft AI agents
• Collaborate with Data Architects, Data Scientists, DevOps, and Business stakeholders to deliver impactful solutions
• Drive innovation and continuous improvement through adoption of emerging tools, AI capabilities, and platform features
• Maintain and evolve the Databricks-based data platform for analytics, AI, and operational workloads

EDUCATION AND EXPERIENCE

• Bachelor’s degree in technology or engineering is required
• 4–7 years of experience in Data Engineering, with 3+ years of hands-on experience in AIOps and Databricks on Azure
• Strong expertise in building scalable, secure data solutions leveraging advanced analytics

SKILL REQUIREMENTS

• Hands-on experience with Azure Data Factory, Databricks, and PySpark
• Strong expertise in Databricks Data Intelligence Platform, including Genie, AI agents, and Unity Catalog for security and governance
• Solid understanding of data platform optimization, scalability, and reliability
• Strong knowledge of data interoperability and integration with the Microsoft ecosystem, including AI agents
• Experience with CI/CD, automation, and platform engineering best practices

KEY COMPETENCIES

• Strong analytical and problem-solving mindset with focus on AI-driven solutions
• Ability to translate business problems into high impact data solutions
• Ownership and accountability in driving platform excellence and innovation
• Effective communication and stakeholder collaboration

KEY SKILLS FUNCTIONAL COMPETENCIES (Mandatory)

• Databricks Platform Expertise – Leverage advanced capabilities of the Databricks Intelligence Platform, including Genie, AI agents, and Microsoft Copilot, to solve business challenges
• Data Governance & Security – Implement enterprise-grade governance and security

using Unity Catalog

• Platform Optimization – Continuously enhance performance, scalability, and cost efficiency of the data platform
• Innovation & Automation – Drive adoption of emerging technologies across AI, data engineering, and Analytics