Job Description:Title: Data Platform Engineer
Location: Remote - USA, Canada
Reports to: SVP, Engineering
Vacancy: New vacancy
The Role:Execute and extend the engineering patterns established by the Snowflake Platform Lead and Senior Data Platform Engineer. Responsible for the day-to-day build, deployment, and operation of Snowflake objects, pipelines, and tooling - and for growing into a senior-level platform engineer over time.
The Impact You Will Have in This Role: Owns
- Implementation of Snowflake objects and roles in Terraform per established patterns.
- Day-to-day operation of CI/CD pipelines for database changes.
- Configuration and maintenance of assigned ingestion pipelines (Snowpipe, Streams/Tasks, managed connectors).
- First-line response to platform alerts on assigned components.
- Documentation and runbook updates for work this role delivers.
Contributes to (under guidance of the Senior)
- Architecture and pattern design decisions.
- RBAC model evolution and security policy implementation.
- Performance tuning and cost optimization initiatives.
What You'll Be Doing in This Role:Platform build and operation
- Implement Snowflake objects, roles, and policies in Terraform per established patterns.
- Author database migrations using Schemachange/Liquibase and ship them through CI/CD.
- Own and operate the CI/CD pipeline that builds, tests, and deploys dbt models in production.
- Apply masking and row-access policies to new data domains as they onboard.
- Tune individual queries and warehouses using established profiling techniques.
Ingestion and integration
- Configure, deploy, and maintain ingestion pipelines for assigned source systems.
- Manage Fivetran/Airbyte (or equivalent) connector deployments for assigned sources.
- Build Snowpipe and Streams/Tasks workflows for assigned ingestion patterns.
- Partner with Analytics Engineering to land data in the shapes downstream models expect.
Reliability and support
- Participate in the on-call rotation for the platform once ramped (target: month 3-4).
- Respond to alerts, triage incidents, and lead resolution for assigned components.
- Maintain dashboards and alerting for assigned pipelines and warehouses.
- Write postmortems and contribute corrective actions back into the platform.
Growth and craft
- Pair regularly with the Senior to learn architecture patterns and decision-making.
- Drive your own ramp on Snowflake, Terraform, and the JD Power data stack.
- Contribute to internal documentation, runbooks, and onboarding materials.
- Pursue SnowPro Core certification within the first 6-9 months.
- ward senior level (architecture contributions, cross-team influence).
Qualifications of this Role: - 2-4 years of professional software, data, or platform engineering experience.
- Strong SQL - comfortable with joins, window functions, CTEs, and reading explain plans.
- Python for scripting, automation, and data work.
- Cloud data warehouse experience - Snowflake preferred; recent Redshift, BigQuery, or Databricks SQL experience considered.
- Version control discipline - comfortable in Git workflows with branching, code review, and CI/CD.
- Some Infrastructure-as-Code exposure - Terraform, CloudFormation, Pulumi, or equivalent.
- Working knowledge of dbt - comfortable reading models, writing tests, and running dbt build in CI.
- Cloud fluency in AWS or Azure - comfortable with IAM, storage, and basic networking.
- Production experience - has shipped code to production systems and been on-call or supported live systems.
- Communication - can write clear PR descriptions, ask good questions, and document their work.
- PREFERRED QUALIFICATIONS
- Hands-on Snowflake in production (any role: engineer, analytics engineer, analyst).
- Production dbt experience - has authored models, written tests, and shipped to a deployed environment.
- SnowPro Core certification (not required at hire; expected within 6-9 months).
- Database CI/CD tooling (Schemachange, Liquibase, dbt deploys).
- Exposure to ingestion tools (Fivetran, Airbyte, Snowpipe, Kafka).
- Data observability tooling (Monte Carlo, Datadog, Grafana).
- Automotive, financial services, insurance, or other regulated consumer-data experience.
- Computer Science degree or equivalent applied experience (e.g., bootcamp + production track record).
This position has a starting salary range of
$110K - $130K USD / $95K - $115K CAD per year. This is the range we reasonably and in good faith expect to pay for the role at the time of posting. An employee's pay within the range is determined by a number of factors, including relevant skills, education, qualifications, experience, performance, business or organizational needs, and geographic location.
