16 дней назад
Staff Software Engineer (Data Platform)
135 800 - 169 700CAD
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Staff Software Engineer (Data Platform) (Python/Airflow/Snowflake): Extending a configuration-driven data platform to deliver product data insights and infrastructure for machine learning and LLM applications with an accent on distributed data systems, governance, reliability, and scalable architecture. Focus on designing high-throughput data services, building model-ready data pipelines, mentoring engineers, and operating production infrastructure end to end.
Location: Remote in Canada.
Salary: $135,800–$169,700 CAD per year.
Company
provides a cloud-based WebOps platform for managing and scaling WordPress and Drupal websites.
What you will do
- Extend the data platform to surface insights in the product and support machine learning and LLM-driven capabilities.
- Architect and enhance ingestion, curation, retention, governance, and data access services.
- Build data infrastructure with Python, Snowflake, Snowpark, Google Cloud Platform, Airflow, Docker, Kubernetes, and Terraform.
- Lead technical design, mentor engineers, and raise standards for coding, testing, deployment, and communication.
- Own development, testing, operations, support, reliability, and on-call responsibilities for production systems.
- Partner with Product, Sales, Operations, Finance, and other teams to deliver self-service data solutions.
Requirements
- 8+ years of experience building production data systems and large-volume data pipelines.
- Deep knowledge of distributed data processing, data modeling, OLAP and OLTP systems, governance, observability, and data quality.
- Strong hands-on Python experience and experience with cloud data warehouses such as Snowflake, BigQuery, Firebolt, or Redshift.
- Experience with Google Cloud Platform or a comparable cloud environment, containers, Kubernetes, Terraform, Airflow, and CI/CD.
- Technical leadership experience, including architecture ownership, mentoring, and translating ambiguous requirements into designs.
- Experience supporting machine learning and LLM infrastructure, such as feature stores, embedding pipelines, or model-ready data services.
Nice to have
- Experience with Google Cloud Platform, Snowpark for Python, and configuration-driven data workflows.
- Hands-on use of AI tools to accelerate engineering work.
Culture & Benefits
- Collaborative, autonomous, no-blame engineering culture focused on trust, teamwork, passion, and customer impact.
- Industry-competitive compensation and equity plan.
- Flexible time off, sick days, and 13 paid holidays.
- Comprehensive health, dental, and vision insurance, plus paid parental leave and family planning benefits.
- Monthly wellness and reading allowance, LinkedIn Learning access, and team and company events.
- Visa sponsorship is not available.
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