Senior Staff Data Engineer - Scalable Analytics Platforms

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

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.