Full-Time

Principal Engineer

Homebase

Homebase

501-1,000 employees

Comprehensive management tools for hourly teams


Expert

Toronto, ON, Canada

Required Skills
Redshift
Python
Git
Apache Spark
SQL
Data Analysis
Requirements
  • Over 10 years of software development experience, specializing in data and ML for 7+ years
  • Expertise in architecting, designing, and implementing large-scale data and ML platforms
  • Demonstrated leadership in driving data/ML strategy
  • Strong problem-solving skills with a strategic mindset and attention to detail
  • Effective communicator and collaborator across technical and non-technical stakeholders
  • Proficient in Python, SQL, Redshift, Spark, Databricks, DBT, Git, or a similar technical stack
  • Proven track record in establishing processes for quality software development
Responsibilities
  • Partnering closely with senior leadership to devise a comprehensive multi-year technical strategy for our data and machine learning (ML) platform
  • Architecting a robust platform capable of efficiently ingesting data from a wide array of sources, ensuring seamless integration and compatibility
  • Strengthening the self-service data access model by formulating a strategy for reporting datasets
  • Guiding the design and implementation of essential platform components geared toward the training, deployment, and monitoring of ML models in production environments
  • Establishing and enforcing best practices for maintaining data quality, governance, and security standards across the data and machine learning platform
  • Offering technical mentorship and guidance to the engineers within the team and across engineering, fostering a culture of continuous learning and growth
  • Providing expert guidance on industry-leading practices, tools, and technologies relevant to data and ML engineering
  • Developing and implementing effective communication strategies to convey technical concepts to both technical and non-technical audiences, facilitating cross-functional understanding and collaboration
  • Cultivating partnerships across Engineering, Product Management, Infrastructure, Security, Analytics, and Design teams to address technical and non-technical problems collaboratively

Company Stage

Series D

Total Funding

$201.9M

Headquarters

San Francisco, California

Founded

2014

Growth & Insights
Headcount

6 month growth

23%

1 year growth

80%

2 year growth

119%

Benefits

Stock options

Comprehensive insurance plans

401(k) with 4% company match

Remote, hybrid, and in-office work options

Top-of-the-line equipment and home office

Annual holidays and accrued PTO

Fun company activities