Job Description
Job Description
Senior Data Platform Engineer
Senior Data Platform Engineer – Zonda – Toronto, ON
Company Overview
Co Star 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, Co Star 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 Postgre SQL, Amazon MWAA/Apache Airflow, dbt,



AWS Glue, Amazon S3, Amazon EKS, Data Hub, Grafana, Cloud Watch, and Git Hub.
This is a hands‑on senior engineering role at the intersection of data engineering, Data Dev Ops, 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.
Responsibilities
Data Platform & Data Dev Ops
Own the Data Dev Ops 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 patterns for transformations, pipelines, dependencies, configuration, testing, and workplace promotion.
Partner with Data Engineers and Data Quality Engineering to provide platform capabilities for automated validation and quality gates that can prevent downstream execution or publication when critical checks fail.
Improve release traceability, deployment consistency, rollback, and production readiness.
Enable metadata, lineage, and quality information to integrate with Data Hub and monitoring platforms.
Cloud Platform & Infrastructure Automation
Build reusable Infrastructure‑as‑Code capabilities using Terraform.
Standardize deployment and configuration across AWS Glue, S3, EKS, MWAA, Data Hub, and Grafana.
Develop consistent Git Ops and CI/CD workflows using Git Hub Actions.
Manage Kubernetes‑based data‑platform services using EKS, Helm, and source‑controlled configuration.
Automate environment provisioning, configuration management, secrets, acc

📌 Senior data platform engineer (Toronto)
🏢 CoStar Group
📍 Toronto