About the roleAs a Staff Data Engineer on Coalition's Data team, you will define the architecture and technical direction of the enterprise Data & Analytics platform. You will build trusted, scalable data infrastructure for cyber security, insurance exposure analytics, BI, actuarial workflows, and AI/ML products. Your work will help Coalition make better risk decisions, deliver reliable data products, and scale its mission to Protect the Unprotected.
Responsibilities- Set the architecture and engineering standards for Snowflake, dbt, orchestration, streaming, batch ELT, and infrastructure-as-code across the Data platform.
- Design governed Medallion pipelines and domain-oriented data models that make complex insurance and security data reliable, discoverable, and usable.
- Build reusable data products, contracts, feature stores, and semantic models that serve BI, actuarial, AI/ML, and operational consumers.
- Establish observability, quality, lineage, security, and incident-management practices that protect data reliability and support regulated workflows.
- Develop the platform foundations for feature engineering, embeddings, vector search, and retrieval-augmented AI applications.
- Partner with engineering, product, underwriting, actuarial, security, and business teams to align architecture with customer and business outcomes.
Skills and Qualifications- 9-12 years of experience building and operating production data platforms, with a track record of owning architecture for complex or high-scale systems.
- Deep expertise in Snowflake and dbt, including performance optimization, incremental processing, warehouse cost management, testing, and deployment practices.
- Strong programming and data modeling skills in Python and analytical SQL, with experience designing dimensional models and/or Data Vault 2.0 architectures.
- Experience building reliable batch and streaming pipelines with modern orchestration and ingestion technologies such as Airflow, Dagster, Prefect, Kafka, Kinesis, Snowpipe Streaming, or Dynamic Tables.
- Experience establishing data products, data contracts, domain ownership, SLAs, access controls, lineage, and quality standards across multiple teams.
- Experience building feature engineering infrastructure or AI data systems, including feature stores, embeddings, vector search, or RAG pipelines.
- Production experience with Looker and LookML, including governed semantic models and centralized metrics for self-service analytics.
- A strong technical leadership mindset, with experience influencing architecture across teams, mentoring engineers, communicating tradeoffs, and creating durable engineering standards.
Bonus Points- Experience modeling insurance domains such as underwriting, claims, reinsurance, policy exposure, loss runs, or loss triangles.
- Familiarity with Snowflake Cortex, Feast, DataHub, Atlan, OpenLineage, Elementary, dbt-expectations, or Evidently AI.
- Experience implementing RBAC hierarchies, row-level policies, column masking, PII tokenization, audit logging, or regulated-data controls.
- Experience managing Snowflake environments with Terraform and CI/CD tools such as GitHub Actions.
- Experience using AI-assisted development tools such as Cursor or GitHub Copilot to improve code quality, testing, and documentation.
CompensationAs a remote-first organization, our compensation reflects the cost of labor across several Canadian geographic markets.
In Alberta, British Columbia & Ontario the base salary for this position ranges from $158,000/year up to $218,000/year.
For all other locations, the base salary for this position ranges from $142,600/year up to $200,000/year.
Consistent with applicable laws, an employee's pay within this range is based on a number of factors, which include but are not limited to relevant education, skills, job-related knowledge, qualifications, work experience, credentials, and/or geographic location. Your Recruiter can share more on the specific target salary range for your location during the interview process. Coalition, Inc. reserves the right to modify this range as needed.
Vacancy Status: This posting is for an existing vacancy.
Use of AI: We utilize AI-assisted tools to help us organize and review the high volume of applications we receive. However, our human recruiting team makes all final hiring decisions and interview selections, valuing personal connection over algorithms.
Application Updates: Consistent with our commitment to transparency, if you are interviewed for this role, we will provide a status update on your application within 45 days of your final interview.
Perks- 100% medical, dental, and vision coverage
- Flexible PTO
- Annual home office stipend and WeWork access
- Mental & physical health wellness programs like Headspace, Lumino, and more!
- Competitive compensation and opportunity for advancement
