Senior Data Engineer (Platform)
As a Senior Data Engineer (Platform) at Freshbooks, you will help shape the future of FreshBooks’ data engineering infrastructure and processes within the R&D organization. You will design and build scalable, reliable data pipelines and platforms on modern cloud infrastructure to power analytics, operations, and machine learning use cases. You will partner closely with Product, Data Analytics, Machine Learning, Platform, Infrastructure, and Security teams to deliver high-quality data solutions across the full data lifecycle. You will contribute to engineering standards, reliability practices, and incident response while mentoring other engineers. This role is ideal for someone who enjoys solving complex data challenges and raising the bar for engineering excellence.
NOTE: This role can be worked remotely from the above location.
What You’ll Do
Design, build, and operate batch and streaming data pipelines on GCP using Airflow (Cloud Composer), dbt, Datastream, Fivetran, Pub/Sub, Dataflow, BigQuery, and Cloud Functions
Build event-driven and near real-time ingestion and transformation workflows to support analytics, operations, and ML workloads
Develop and operate ML data and serving infrastructure using Vertex AI, Kubeflow, Cloud Run, and Cloud Composer for batch and real-time predictions
Implement CI/CD pipelines and infrastructure as code using tools such as GitHub Actions, Azure Pipelines, Terraform, and Terraspace
Drive observability, monitoring, alerting, security, and access controls using OpenTelemetry and cloud-native services
Partner with Product, Data Analytics, Machine Learning, Engineering, Platform, Infrastructure, and Security teams to design scalable, secure, and cost-efficient data systems
Lead design and code reviews, contribute to engineering standards, incident management practices, and mentor junior and mid-level engineers
What You’ll Bring
5+ years of experience designing, building, and operating data pipelines and data platforms
Strong experience with batch and near real-time data processing and streaming architectures
Hands-on expertise with Google Cloud Platform or another major cloud provider (AWS or Azure) and cloud data warehouses (BigQuery, Snowflake, Redshift)
Expert SQL skills and strong programming experience in Python or similar languages
Experience with orchestration tools (Airflow or equivalent), CDC technologies, and event-driven systems
Experience with DevOps and IaC tooling (Docker, Kubernetes, Terraform, Jenkins, Git, CI/CD pipelines)
Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders
You’ll Stand Out If You Have
Strong foundations in networking, cloud security, and access management (VPCs, IAM, ZTNA, DMZ)
A track record of staying current with modern data engineering platforms and best practices
Experience in SaaS or fintech environments
#LI-SR1 #LI-Remote
Apply To This Job
NOTE: This role can be worked remotely from the above location.
What You’ll Do
Design, build, and operate batch and streaming data pipelines on GCP using Airflow (Cloud Composer), dbt, Datastream, Fivetran, Pub/Sub, Dataflow, BigQuery, and Cloud Functions
Build event-driven and near real-time ingestion and transformation workflows to support analytics, operations, and ML workloads
Develop and operate ML data and serving infrastructure using Vertex AI, Kubeflow, Cloud Run, and Cloud Composer for batch and real-time predictions
Implement CI/CD pipelines and infrastructure as code using tools such as GitHub Actions, Azure Pipelines, Terraform, and Terraspace
Drive observability, monitoring, alerting, security, and access controls using OpenTelemetry and cloud-native services
Partner with Product, Data Analytics, Machine Learning, Engineering, Platform, Infrastructure, and Security teams to design scalable, secure, and cost-efficient data systems
Lead design and code reviews, contribute to engineering standards, incident management practices, and mentor junior and mid-level engineers
What You’ll Bring
5+ years of experience designing, building, and operating data pipelines and data platforms
Strong experience with batch and near real-time data processing and streaming architectures
Hands-on expertise with Google Cloud Platform or another major cloud provider (AWS or Azure) and cloud data warehouses (BigQuery, Snowflake, Redshift)
Expert SQL skills and strong programming experience in Python or similar languages
Experience with orchestration tools (Airflow or equivalent), CDC technologies, and event-driven systems
Experience with DevOps and IaC tooling (Docker, Kubernetes, Terraform, Jenkins, Git, CI/CD pipelines)
Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders
You’ll Stand Out If You Have
Strong foundations in networking, cloud security, and access management (VPCs, IAM, ZTNA, DMZ)
A track record of staying current with modern data engineering platforms and best practices
Experience in SaaS or fintech environments
#LI-SR1 #LI-Remote
Apply To This Job