data
Posted 3 weeks agoSenior Staff Data Engineer - Platform Data and Analytics
at Faire
CanadaHybrid
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Responsibilities
- Define technology strategy, roadmaps, architecture patterns and guidance.
- 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.
Requirements
- At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe.
- The product analytics engineering (PAE) function enables domain-specific AE capabilities, working closely with Data Science, Strategy & Analytics, Finance.
- We’re looking for: An experienced technical leader with data and analytics background to work alongside and lead / influence across multiple teams and departments.
- 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.
- Understanding of performance, capacity, cost trade-offs in data processing systems.
- Experience in guiding technical and product teams on such trade-offs. •
- 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.
- A bachelor's degree in Computer Science/Software Engineering or equivalent industry experience.
- Faire uses Artificial Intelligence (AI) to screen and select applicants for this position.
- 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.
Benefits
- Select technologies we use and teach : AWS, Snowflake, Airflow, Spark, Python, Kotlin. Salary Range