Senior Data Platform Engineer - Zonda - Toronto, ON

Senior Data Platform Engineer - Zonda - Toronto, ON Job Description Senior Data Platform Engineer: Senior Data Platform Engineer – Zonda – Toronto, ON Company Overview: CoStar Group (NASDAQ: CSGP) is a leading global provider of commercial and residential real estate information, analytics, and online marketplaces. Included in the S&P 500 Index, CoStar Group is on a mission to digitize the world’s real estate, empowering all people to discover properties, insights and connections that improve their businesses and lives. We have been living and breathing the world of real estate information and online marketplaces for over 35 years, giving us the perspective to create truly unique and valuable offerings to our customers. We’ve continually refined, transformed, and perfected our approach to our business, creating a language that has become standard in our industry, for our customers, and even our competitors. We continue that effort today and are always working to improve and drive innovation. This is how we deliver for our customers, our employees, and investors. By equipping the brightest minds with the best resources available, we provide an invaluable edge in real estate. About Zonda: Zonda is redefining the future of housing. We are perfectly placed in the heart of the fast-growing real estate industry. We are making big bets on the future of real-estate, trailblazing a 2030 vision for the industry. Here at Zonda, you’ll be able to use your passion and curiosity to drive the next generation of real estate analysts, advisors, technologists, and marketers. Learn more about Zonda We are looking for a Senior Data Platform Engineer to design, automate, and operate the shared capabilities that underpin our enterprise data platform. Our environment includes Snowflake, AWS Aurora PostgreSQL, Amazon MWAA/Apache Airflow, dbt, AWS Glue, Amazon S3, Amazon EKS, DataHub, Grafana, CloudWatch, and GitHub . This is a hands-on senior engineering role at the intersection of data engineering, Data DevOps, cloud platform engineering, and production reliability . The role is not primarily focused on building individual business pipelines or administering enterprise cloud infrastructure. It owns Data Platform infrastructure and automation within the data domain while partnering with enterprise Infrastructure and Security teams on underlying cloud, networking, identity, and security services. Its purpose is to build the shared frameworks, automation, and operational capabilities that allow Data Engineers to deliver data products safely, consistently, and efficiently. The role does not own database-engine administration, query tuning, indexing, vacuum management, database capacity planning, or database-level performance troubleshooting. These responsibilities sit with Database Administration, with Data Platform Engineering providing the automation, deployment, and infrastructure capabilities around the database platforms. You will own major platform capabilities end to end — from architecture and automation through production operation, reliability, and continuous improvement.

Data Platform & Data DevOps Own the Data DevOps framework, standards and automation across Snowflake and AWS RDS/Aurora database platforms . Establish source-controlled schema versioning, database migration workflows, environment promotion, deployment validation, and deployment rollback practices. Implement Snowflake CI/CD and database deployment using schemachange or equivalent tooling . Implement automated schema migration and versioning for AWS RDS/Aurora databases using Flyway or equivalent tooling . Automate Snowflake roles, grants, policies, and supported configuration through Infrastructure as Code. Reduce routine direct production changes through repeatable, auditable deployment workflows. dbt, Airflow & Data Delivery Establish platform standards for dbt and Apache Airflow / Amazon MWAA . Build and maintain reusable CI/CD