Lead Software Engineer (Sr Data Engineer)

Kaseya

Kaseya is the leading provider of AI-powered IT management and cybersecurity software, serving Managed Service Providers (MSPs) and internal IT organizations worldwide.

Bangalore, India Posted 2mo ago it managementcybersecuritymsp software

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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 by Insight 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 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

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.

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