Lead Software Engineer - 260317-2 at Kaseya

Kaseya® is the leading provider of complete IT infrastructure and security management solutions for Managed Service Providers (MSPs) and internal IT organizations worldwide powered by AI. Kaseya’s best-in-breed technologies allow organizations to efficiently manage and secure IT to drive sustained business success. Kaseya has achieved sustained, strong double-digit growth over the past several years and is backed by Insight Venture Partners www.insightpartners.com), a leading global private equity firm investing in high-growth technology and software companies that drive transformative change in the industries they serve. Founded in 2000, Kaseya currently serves customers in over 20 countries across a wide variety of industries and manages over 15 million endpoints worldwide. To learn more about our company and our award-winning solutions, go to www.Kaseya.com and for more information on Kaseya’s culture. Kaseya is not your typical company. We are not afraid to tell you exactly who we are and our expectations. The thousands of people that succeed at Kaseya are prepared to go above and beyond for the betterment of our customers. Job Title: Lead Data Engineer Job Summary We are seeking a Lead Data Engineer with strong expertise in Snowflake and modern cloud data architectures to design and lead the development of scalable, high-performance data platforms. The role will focus on implementing Medallion Architecture (Bronze, Silver, Gold) to support enterprise analytics, data governance, and advanced data use cases. The ideal candidate will define engineering standards, and build reliable data pipelines that power reporting, analytics, and machine learning initiatives. Key Responsibilities Data Platform Architecture • Design and implement scalable data platforms using Snowflake. • Build and maintain Medallion Architecture (Bronze, Silver, Gold layers) to support curated enterprise datasets. • Develop and optimize ELT pipelines within Snowflake. • Architect data ingestion frameworks supporting batch and near real-time data processing. • Define enterprise data engineering standards for Snowflake. • Drive cost governance and performance optimization within Snowflake. Data Engineering & Pipeline Development • Build and maintain high-performance data pipelines for ingesting and transforming large-scale datasets. • Optimize query performance, storage, and compute costs. • Design dimensional and analytical data models. • Develop Gold layer data marts to support BI and analytics platforms. • Enable self-service analytics through curated datasets. • Maintain data documentation, lineage tracking, and impact analysis. • Ensure compliance with enterprise data governance policies. Leadership & Engineering Standards • Lead and mentor a team of data engineers. • Establish coding standards, data pipeline best practices, and design guidelines. • Conduct architecture reviews and code reviews. • Work closely with business stakeholders. • Translate business requirements into scalable data engineering solutions. • Support analytics and reporting initiatives with trusted and governed datasets. Required Skills • Strong expertise in Snowflake Data Cloud. • Advanced SQL development and performance optimization. • Experience building ELT pipelines in modern data platforms. • Strong experience with Python for data engineering, data orchestration tools (Airflow, etc.) & cloud platforms (AWS / Azure / GCP). • Experience supporting ML data pipelines and feature stores. • Experience implementing Medallion Architecture: • CI/CD for data pipelines, Git-based version control Experience • 8–12 years of experience in data engineering or data platform development. • 3+ years leading data engineering teams or large-scale data initiatives. • Hands-on experience delivering Snowflake-based enterprise data platforms. • Strong stakeholder communication • Ability to drive data platform strategy and best practices Join the Kaseya growth rocket ship and see how we are #ChangingLives ! Additional information Kaseya provides equal employment opportunity to all employees and applicants without regard to race, religion, age, ancestry, gender, sex, sexual orientation, national origin, citizenship status, physical or mental disability, veteran status, marital status, or any other characteristic protected by applicable law.