Senior Staff Data Engineer – Platform Data, Analytics

Jobtailor; Arizona; On-site; USD 130,000 - 180,000; Full time

Job summary

Faire seeks an experienced data leader to design and operate scalable data systems, emphasizing integrity, security, and performance. You will guide analytics engineering workflows and mentor multiple teams across data domains.

You will drive architecture decisions, partner with product and engineering, and optimize cost and performance in growth-stage initiatives. This role requires strong communication and strategic thinking.

Qualifications

• Experience designing, developing, and operating data streaming, batch, ETL/ELT, orchestration at scale.
• Experience defining architecture patterns and building reliable, scalable data pipelines and analytics 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 guiding technical and product teams on such trade-offs.
• Experience operating in a growth stage company with a multi-team data function.
• Excellent communication, leadership, and influencing skills.
• A bachelor's degree in Computer Science/Software Engineering or equivalent industry experience.

Responsibilities

• Plan and execute data projects that scale with Faire’s growth.
• Lead architecture development focusing on data integrity, security, performance, scale, reliability, monitoring/alerting.
• Provide technical guidance and mentorship on ETL/ELT, data ingest and warehousing, governance.

Skills

SQL

Python

Data pipelines

Data warehousing

Leadership

Communication

Mentorship

Education

Bachelor's Degree in Computer Science

Bachelor's Degree in Software Engineering

Tools

Snowflake

Airflow

Spark

Job description

• 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

• 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.

Core Competencies

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 Architecture
• ETL/ELT Development
• SQL Proficiency
• Python Programming
• Snowflake Experience

ATS Optimization Keywords

Hard Skills

• Data Streaming
• Batch Processing
• Data Warehousing
• Orchestration Systems
• Workflow Systems
• Data Transformation
• Analytics Engineering
• Cost Optimization
• Monitoring and Alerting
• Data Security

Soft Skills

• Leadership
• Communication
• Mentorship
• Influencing

Certifications & Qualifications

• Bachelor's Degree in Computer Science
• Bachelor's Degree in Software Engineering

Industry Keywords

• Data Integrity
• Data Governance
• Performance Trade-offs
• Capacity Planning
• Growth Stage Company

Tools & Technologies

• Snowflake
• Airflow
• Spark