2 дня назад
Staff Data Engineer
158 000 - 218 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Data Engineer (Snowflake/dbt): Building and governing scalable data infrastructure for cybersecurity, insurance analytics, BI, actuarial workflows, and AI/ML products with an accent on reliable pipelines, domain-oriented data models, and data governance. Focus on designing enterprise data architecture, building feature engineering and retrieval-augmented AI foundations, and establishing observability, security, lineage, and quality standards across teams.
Location: Remote within Canada
Salary: $158,000–$218,000/year in Alberta, British Columbia, and Ontario; $142,600–$200,000/year in other Canadian locations.
Company
provides active insurance coverage and cybersecurity tools to help businesses prevent and manage digital risk.
What you will do
- Define architecture and engineering standards for Snowflake, dbt, orchestration, streaming, batch ELT, and infrastructure as code.
- Design governed Medallion pipelines and domain-oriented data models for insurance and cybersecurity data.
- Build reusable data products, data contracts, feature stores, semantic models, embeddings, vector search, and RAG foundations.
- Establish observability, data quality, lineage, security, access control, and incident-management practices.
- Partner with engineering, product, underwriting, actuarial, security, and business teams on architecture and business outcomes.
- Influence architecture across teams, mentor engineers, communicate trade-offs, and establish durable standards.
Requirements
- 9–12 years of experience building and operating production data platforms, including ownership of architecture for complex or high-scale systems.
- Deep expertise in Snowflake and dbt, including optimization, incremental processing, cost management, testing, and deployment.
- Strong Python, analytical SQL, and data modeling skills, including dimensional models or Data Vault 2.0.
- Experience with batch and streaming pipelines and tools such as Airflow, Dagster, Prefect, Kafka, Kinesis, Snowpipe Streaming, or Dynamic Tables.
- Experience with data products, data contracts, domain ownership, SLAs, access controls, lineage, quality standards, and AI data systems.
- Production experience with Looker and LookML, plus strong technical leadership and cross-team influence.
Nice to have
- Insurance-domain modeling experience, including 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 with RBAC, row-level policies, column masking, PII tokenization, audit logging, regulated-data controls, Terraform, or GitHub Actions.
- Experience using AI-assisted development tools such as Cursor or GitHub Copilot.
Culture & Benefits
- Remote-first work environment for employees in Canada.
- 100% medical, dental, and vision coverage.
- Flexible PTO and mental and physical wellness programs.
- Annual home office stipend and WeWork access.
- Competitive compensation and opportunities for advancement.
Hiring process
- Interviewed candidates receive an application status update within 45 days of the final interview.
- AI-assisted tools support application organization and review, while final decisions are made by the human recruiting team.
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