Senior Software Developer, Data (Remote First)

Build and maintain internal tooling for the data team — CLIs, automation scripts, observability dashboards, and developer productivity tools.

Contribute to the development and deployment of the team's conversational analytics product — supporting infrastructure, CI/CD, and production readiness.

Define and manage Snowflake infrastructure as code via Terraform — including provisioning, access controls, resource monitors, and performance tuning.

Extend, maintain, and improve the team's data catalog (OpenMetadata) — ensuring data assets are documented, discoverable, and trusted across the organization.

Own data quality infrastructure — build and maintain frameworks for testing, monitoring, and alerting on data freshness, completeness, and correctness.

Build and maintain CI/CD workflows for dbt model deployment, schema validation, data quality checks, and automated testing.

Establish and maintain reproducible local and development environments so every team member can work effectively without friction.

Collaborate with the Tech Lead to design and implement data platform architecture in alignment with the team's technical strategy and the company's security and scalability requirements.

Approach all engineering work with a security-first mindset; ensure access patterns, credentials, and audit logging are codified and version-controlled.

Perform code reviews, ensure pull requests reflect acceptance criteria, and uphold engineering standards across the team's platform codebase.

Perform other duties as assigned.

University degree or college diploma in a recognized technical, vocational or academic program (preferably in Engineering or Computer Science) or equivalent work experience. 

5+ years in software engineering, with at least 2 years focused on data platforms or data infrastructure.

Experience with a cloud data warehouse (e.g. Snowflake, BigQuery, Redshift).

Experience using Infrastructure as Code tools such as Terraform to manage cloud infrastructure.

Proficiency in at least one programming language (JavaScript/TypeScript preferred; Python also valuable).

Experience with data ingestion platforms such as Fivetran or Airbyte.

Strong engineering fundamentals — version control discipline, code review, reproducible builds.

Experience implementing secure data practices to adhere to compliance standards.

Experience with Snowflake administration (RBAC, resource monitors, performance tuning).

Experience with containerization (Docker) and orchestration (Kubernetes).

Experience with data catalog tooling (e.g. OpenMetadata, DataHub, Atlan, or similar).

Experience with data observability tooling.