Staff Software Engineer – Data Platform

This is a fully remote position, open to applicants in Canada, +1 more state.

📋 Description

• Expand the configuration-driven data platform to reveal data insights within the Product experience and enable Machine Learning and LLM-driven insights.

• Act as the principal technical member of the Data Platform team, enhancing Ingest, Curation, and Retention as a Service.

• Engage directly with Snowflake, Snowpark for Python, Google Cloud Platform, Airflow, Docker, and Terraform.

• Mentor engineers and oversee the design and implementation of high-impact projects.

• Take ownership of development, testing, operations, and support in a comprehensive DevOps model.

• Propel continual enhancement of coding, testing, deployment, and communication standards.

• Collaborate with Product, Sales, Ops, Finance, and other teams on data solutions.

• Participate in the Data team's on-call rotation to maintain infrastructure stability, reliability, and performance.

⛳️ Requirements

• Profound understanding of processing large-scale datasets across distributed systems, including high-throughput and low-latency design trade-offs.

• Capability to design, implement, and optimize scalable dimensional and normalized data models for OLAP and OLTP systems.

• Experience with data governance frameworks, data catalogs, and observability tools.

• Proven track record in setting technical direction, converting ambiguous requirements into architecture, and mentoring engineers.

• Ability to align data solutions with overarching company goals and customer value.

• Proficient in communicating technical designs, project status, and risks to both technical and non-technical stakeholders.

• Experience integrating automated test coverage, data validation, and idempotent design into deployment pipelines.

• Emphasis on security, trust, and dependability in design principles, including declarative design, modularity, containers, and idempotency.

• Over 8 years of experience in building production data systems, encompassing large-volume pipelines, cloud databases, and real-time data events.

• Proven technical leadership in mentoring engineers and influencing architectural decisions.

• Strong practical experience with Python 3.

• Hands-on expertise with cloud data warehouses such as Snowflake, BigQuery, Firebolt, or Redshift.

• Familiarity with Google Cloud Platform or similar cloud environments, containers, Kubernetes, and Terraform.

• Knowledge of configuration-driven pipeline design, Airflow, and CI/CD for data workflows.

• Experience in building or supporting data infrastructure for Machine Learning and LLM applications, including feature stores, embedding/vector pipelines, or model-ready data services.

• Hands-on experience with AI tools to enhance work efficiency.

• Strong communication skills and a collaborative team-oriented mindset.

• Visa Sponsorship is currently not available.

🏝️ Benefits

• Competitive compensation and equity plan within the industry.

• Flexible time off, sick days, and 13 paid holidays.

• Extensive medical insurance coverage, including Health, Dental, and Vision.

• Paid parental leave, along with fertility, adoption, and other family planning benefits.

• Workspace available in-office (San Francisco & Chicago).

• Monthly allowance for wellness, reading, and access to LinkedIn Learning for ongoing development.

• Team-based and company-wide events and activities that inspire, educate, and cultivate.