Lead Software Engineer (Sr Data Engineer)

About Kaseya

Kaseya is the leading provider of AI-powered IT management and cybersecurity software, serving Managed Service Providers (MSPs) and internal IT organizations worldwide. Our comprehensive platform helps organizations efficiently manage, secure, and automate their IT environments, driving operational efficiency and long-term business success.

Backed byInsight Partners, a leading global software investor, Kaseya has experienced sustained double-digit growth and continues to expand its global footprint. Today, Kaseya supports customers in more than 20 countries and manages over 15 million endpoints worldwide.

Founded in 2000, Kaseya has built a culture centered around innovation, accountability, and results. We are a high-growth, high-performance organization that values individuals who are driven, adaptable, and committed to delivering exceptional outcomes for our customers and teammates alike.

At Kaseya, success comes from embracing challenges, moving with urgency, and continuously raising the bar.

Job Title: Lead Data Engineer

Job Summary

We are seeking aLead Data Engineerwith strong expertise inSnowflake and modern cloud data architecturesto design and lead the development of scalable, high-performance data platforms. The role will focus on implementingMedallion 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 scalabledata platforms using Snowflake.
• Build and maintainMedallion Architecture (Bronze, Silver, Gold layers)to support curated enterprise datasets.
• Develop and optimizeELT pipelines within Snowflake.
• Architectdata ingestion frameworkssupporting batch and near real-time data processing.
• Define enterprisedata engineering standards for Snowflake.
• Drivecost governance and performance optimization within Snowflake.

Data Engineering & Pipeline Development

• Build and maintainhigh-performance data pipelinesfor ingesting and transforming large-scale datasets.
• Optimizequery performance, storage, and compute costs.
• Designdimensional and analytical data models.
• DevelopGold layer data martsto support BI and analytics platforms.
• Enableself-service analyticsthrough curated datasets.
• Maintaindata documentation, lineage tracking, and impact analysis.
• Ensure compliance with enterprisedata governance policies.

Leadership & Engineering Standards

• Lead and mentor a team ofdata engineers.
• Establishcoding standards, data pipeline best practices, and design guidelines.
• Conductarchitecture reviews and code reviews.
• Work closely withbusiness stakeholders.
• Translate business requirements intoscalable data engineering solutions.
• Support analytics and reporting initiatives withtrusted and governed datasets.

Required Skills

• Strong expertise inSnowflake Data Cloud.
• AdvancedSQL development and performance optimization.
• Experience buildingELT pipelinesin modern data platforms.
• Strong experience withPython for data engineering, data orchestration tools(Airflow, etc.) &cloud platforms(AWS / Azure / GCP).
• Experience supportingML data pipelines and feature stores.
• Experience implementingMedallion Architecture:
• CI/CD for data pipelines, Git-based version control

Experience

• 8–12 years of experiencein data engineering or data platform development.
• 3+ years leading data engineering teams or large-scale data initiatives.
• Hands-on experience deliveringSnowflake-based enterprise data platforms.
• Strong stakeholder communication
• Ability to drivedata platform strategy and best practices

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.