Lead a cross-functional team of analytics engineers, data scientists, and BI developers to deliver production-grade analytics and customer-facing applications.
Architect and maintain scalable data pipelines and model infrastructure using Snowflake and Python, powering Seek’s analytics app marketplace.
Define and enforce standards for modeling, version control, deployment, and governance to ensure modular, reusable, and maintainable analytics products.
Collaborate with data providers to interpret raw datasets, identify high-value features, and create analytics apps that drive customer success across industries.
Ensure high performance and reliability for all analytics products, from large Snowflake workloads to real-time prediction endpoints.
Deliver internal reporting infrastructure that provides automated metrics, instrumentation, and dashboards to guide product and business decisions.
Partner with product and engineering leadership to align analytics, provider workflows, and embedded delivery pipelines into a cohesive platform strategy.
Champion AI/ML advancements, evaluating and integrating technologies like Snowflake Cortex and LLM-based APIs to enhance Seek’s platform capabilities.
Requirements
8+ years of experience in data infrastructure, applied analytics, or ML systems, including 4+ years in technical leadership roles.
Hands-on expertise with Snowflake, SQL, and Python.
Proficiency with distributed compute engines (e.g., Spark) and experience architecting DAG-based pipelines and parallel workflows.
A proven track record of delivering customer-facing analytics products, not just internal dashboards, with an emphasis on scalability, version control, and lifecycle ownership.
Deep understanding of analytics architecture in multi-tenant SaaS environments, including security, scalability, observability, and governance.
Experience leading collaboration across data, product, engineering, and external partners to deliver complex analytics solutions.
Familiarity with embedded BI tools (e.g., Sigma, Looker, ThoughtSpot) and an interest in LLM-driven augmentation patterns.
A Bachelor’s degree in a quantitative or technical field (Master’s preferred).
Benefits
Medical Insurance
Dental Insurance
PTO
16 annual company holidays
401K
Vision Insurance
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonSQLSnowflakeSparkDAG-based pipelinesparallel workflowsanalytics architectureAI/ML advancementsembedded BI toolscustomer-facing analytics products