Senior Platform Analytics Engineer

CanadaHybrid

Responsibilities

Improve development patterns and guide the broader analytics function on evolution of foundational datasets
Lead technical execution in building scalable data models and pipelines for key domains, defining architecture, feature requirements, roadmaps
Plan and execute on technology projects that scale with our growth; contribute to our architecture with a focus on analytics

At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe.
Tooling and capabilities to accelerate productivity of analytics subject matter experts; automation of analytics functions
Strong SQL and Python skills and demonstrated competencies in designing well-architected data models and optimizing query performance •
experience with a focus on data modeling, large-scale data processing, and tool development for analytics or data science use cases •
Experience with Airflow, dbt or similar analytics workflow tools; Snowflake experience especially valuable
Knowledge of data warehousing concepts, ETLs, big data technologies, and analytics platforms
Data warehousing experience at Petabyte scale
Understanding of performance, capacity, cost trade-offs in data processing systems
A bachelor's degree in Computer Science / Engineering or equivalent industry
experience Technologies we use and teach: AWS Snowflake Airflow Spark Python
Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day.

Kotlin Salary range:
Canada: the pay range for this role is $160,000 - $220,000 per year.
This role will also be eligible for equity and benefits.
Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location.
The base pay range provided is subject to change and may be modified in the future.