Staff Data Engineer (Platform Data and Analytics)

Faire
San Francisco, United States of America
5 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 268K

Job location

Remote
San Francisco, United States of America

Tech stack

Airflow
Amazon Web Services (AWS)
Data analysis
Data Infrastructure
Data Integrity
ETL
Data Security
Data Systems
Data Warehousing
Python
Standard Sql
Software Engineering
Data Streaming
Data Processing
Data Ingestion
Snowflake
Spark
Kotlin
Information Technology
Data Analytics
Data Management
Data Pipelines
GXP

Job description

  • Our Engineering organization owns the software that makes our marketplace work. The Platform group empowers teams across Faire: Product Engineering, Data Science, Product Management, Strategy, Analytics, Finance, etc
  • Enabling these functions to do their best work without concern about underlying infrastructure. We enable product engineering teams to build and operate software with unmatched speed and quality
  • We care about good engineering practices, excellent developer experience, security, testability, ease of maintenance, and scaling to serve millions of users. We value best practices to achieve excellent availability and performance
  • The Data Infrastructure team builds and operates a secure, reliable, cost-efficient, opinionated platform for data ingestion, storage, compute, orchestration, and governance
  • The Analytics Platform team builds efficient data warehousing capabilities, foundational data assets, and tools to accelerate data-driven analytics. Its mandate is to reduce time from data to insights
  • The teams also own relationships with relevant technology infrastructure vendors
  • Additionally, this role would influence and interact with all data and analytics related functions at Faire. The product analytics engineering (PAE) function enables domain-specific AE capabilities, working closely with Data Science, Strategy & Analytics, Finance
  • The data science (DS) function leads modeling development and evaluation, raising effectiveness and efficiency of key product features
  • 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

  • This role is for a highly experienced technical leader in the data space, whose influence spans multiple Platform and Product groups
  • An experienced technical leader with data and analytics background to work alongside and lead / influence across multiple teams and departments. Define technology strategy, roadmaps, architecture patterns and guidance. Striking the right balance of technical leadership and hands-on development
  • Experience designing, developing, and operating data streaming, batch, ETL/ELT, orchestration, storage, compute, workflow systems at scale
  • Select technologies we use and teach: AWS, Snowflake, Airflow, Spark, Python, Kotlin
  • Data warehousing experience at Petabyte scale
  • Experience defining architecture patterns and building reliable, scalable data pipelines, orchestration of data movement, querying, transformation, and frameworks for analytics engineering workflows
  • 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
  • Snowflake, Airflow, Spark experience especially valuable
  • A bachelor's degree in Computer Science/Software Engineering or equivalent industry experience
  • Strong SQL and Python skills and experience
  • Excellent communication, leadership, and influencing skills
  • Experience diagnosing, mitigating, and permanently addressing data system production issues at scale. Experience rolling out patterns for workload performance and cost optimization

Benefits & conditions

  • Comprehensive healthcare: Including Health, Dental, Vision and Disability for all our locations.
  • Time off: Paid time off, holidays and company-wide "Faire Fundays".
  • Parental leave: Generous parental and family leave, as well as fertility support benefits.
  • Productivity support: Monthly stipends to help cover work from home connectivity needs.
  • Annual learning grant: For personal and professional development, as well as unlimited access to training courses through LinkedIn Learning.
  • Thoughtfully designed spaces: All of our offices have been designed with local in mind - from our architects to our coffee blends.
  • Fitness and well-being benefits: Including monthly credit towards your wellness-related programmes.
  • Mental health benefits: Including free access to Modern Health therapists and resources.
  • Charitable matching: Faire will match up to £250 of your charity donations, every year.
  • Career planning: Whether you want to grow as a leader, hone your craft or explore a new discipline, our career framework allows space for you to explore.

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