Senior Staff Data Engineer – Platform Data, Analytics

Faire

Senior Staff Data Engineer leading data projects and architecture at Faire. Empowering teams through data integrity, security, and performance-based solutions.

Posted 7/29/2026full-timeArizona, California, Colorado, Connecticut, District of Columbia, Florida, Idaho, Illinois, Kentucky, Maine, Maryland, Massachusetts, Minnesota, Missouri, Montana, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, Ohio, Oregon, Pennsylvania, Rhode Island, Tennessee, Texas, Utah, Virginia, Washington, Wisconsin • 🇺🇸 United StatesSenior💰 $268,000 - $368,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and operating scalable data systems, with a strong focus on data integrity, security, and performance. Proficient in SQL and Python, with experience in data warehousing and orchestration frameworks to support analytics engineering workflows.

Highest-signal resume keywords

Data Pipeline ArchitectureETL/ELT DevelopmentSQL ProficiencyPython ProgrammingSnowflake Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data StreamingBatch ProcessingData WarehousingOrchestration SystemsWorkflow SystemsData TransformationAnalytics EngineeringCost OptimizationMonitoring and AlertingData Security

Soft Skills

LeadershipCommunicationMentorshipInfluencing

Tools & Technologies

SnowflakeAirflowSpark

Certifications & Qualifications

Bachelor's Degree in Computer ScienceBachelor's Degree in Software Engineering

Industry Keywords

Data IntegrityData GovernancePerformance Trade-offsCapacity PlanningGrowth Stage Company

Tech Stack

Tools & technologies

AirflowETLPythonSparkSQL

About the role

Key responsibilities & impact

Plan and execute on technology projects that scale with Faire’s growth; lead architecture development with a focus on data integrity, security, performance, scale, reliability, monitoring/alerting.
Engage with team planning and prioritization, balancing urgent and near-term needs with long-term goals.
Provide technical guidance and mentorship on the most difficult open-ended problems we face. Including cost-efficient compute and storage, ETL and ELT pipelines, data ingest and warehousing, monitoring, alerting, and cost tracking for workloads, design practices for foundational assets, data security, privacy, and governance.

Requirements

What you’ll need

Experience designing, developing, and operating data streaming, batch, ETL/ELT, orchestration, storage, compute, workflow systems at scale.
Experience defining architecture patterns and building reliable, scalable data pipelines, orchestration of data movement, querying, transformation, and frameworks for analytics engineering workflows.
Strong SQL and Python skills and experience.
Data warehousing experience at Petabyte scale.
Snowflake, Airflow, Spark experience especially valuable.
Understanding of performance, capacity, cost trade-offs in data processing systems. Experience in guiding technical and product teams on such trade-offs.
Experience diagnosing, mitigating, and permanently addressing data system production issues at scale. Experience rolling out patterns for workload performance and cost optimization.
Experience operating in a growth stage company, with a data function consisting of multiple teams and over 60 people. Enabling teams to operate in a self-serve model.
Excellent communication, leadership, and influencing skills.
A bachelor's degree in Computer Science/Software Engineering or equivalent industry experience.

Benefits

Comp & perks

Equity and benefits
Competitive pay
Comprehensive benefits designed to support life inside and outside of work