Job description

Engineer Scalable Data Solutions with Azure & Databricks! The Pittsburgh Paints Company is seeking a skilled Data Engineer - Azure Databricks to join our growing Data & Analytics team. If you're passionate about building scalable data pipelines and cloud-based solutions, and thrive on enabling analytics across a modern data lake platform, this is your opportunity to drive innovation and performance at scale. Location: Hybrid (U.S. or Canada preferred) Travel: Occasional travel as needed Key Responsibilities Data Pipeline Engineering: Design, build, and maintain scalable, high-performance data pipelines using Databricks and Azure services. Databricks Expertise: Leverage Databricks SQL, Delta Lake, Workflows, and Runtime to orchestrate complex data workflows and optimize reliability. Data Modeling & Architecture: Design robust data models within a data lake environment, ensuring data consistency and accessibility. Cloud Integration: Integrate Databricks seamlessly with Azure services like Azure Data Lake Storage and Azure SQL Database. Data Quality & Governance: Implement data validation procedures and comply with governance best practices to ensure high-quality, secure data. Collaboration: Work closely with analysts, business stakeholders, and IT teams to align data solutions with business goals. Continuous Learning: Stay current with emerging cloud technologies, Databricks features, and best practices in data engineering. Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field (specialization in AI/ML is a plus). 7+ years of experience in data engineering, including Databricks and Azure Cloud. Proficiency in Azure Data Factory, Azure SQL Database, and Azure DevOps (including CI/CD pipelines and Git). Strong skills in SQL and Python or Scala; experience with PySpark/Spark SQL required. Solid understanding of ETL processes, data warehousing, and data modeling. Familiarity with data governance, quality, and security frameworks. Excellent problem-solving and communication skills across technical and non-technical teams. Preferred Skills Databricks certification (e.g., Data Engineer Professional). Microsoft Azure certification (e.g., Azure Data Engineer Associate). Experience with Azure Logic Apps, Azure Functions, and API Management. Knowledge of Power BI or other visualization platforms. Experience in developing AI/ML platforms #LI-Hybrid About us: Pittsburgh Paints Company, formerly part of PPG, is an industry leader in residential and commercial architectural coatings through its well-known portfolio of brands, including GLIDDEN®, OLYMPIC®, LIQUID NAILS®, HOMAX®, PITTSBURGH PAINTS & STAINS®, Manor Hall®, FLOOD®, DULUX® (in Canada), and SICO®, among others. We manufacture and sells interior and exterior paints, stains, caulks, repair products, adhesives, and sealants for homeowners and professionals. It also includes certain light-duty protective coatings products that are primarily sold through company-owned stores and manufactured through a common factory footprint. In total, our distribution network includes more than 15,000 touchpoints through company-owned stores, independent dealer locations, and major home improvement centers and retailers across the U.S. and Canada. Pittsburgh Paints Company provides equal opportunity to all candidates and employees. We offer an opportunity to grow and develop your career in an environment that provides a fulfilling workplace for employees, creates an environment for continuous learning, and embraces the ideas and diversity of others. All qualified applicants will receive consideration for employment without regard to sex, pregnancy, race, color, creed, religion, national origin, age, disability status, marital status, veteran status, sexual orientation, gender identity or expression. Benefits will be discussed with you by your recruiter during the hiring process. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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