Homebase Logo

Homebase

Principal Engineer, Data Engineering (Hybrid)

Posted 2 Days Ago
Be an Early Applicant
Toronto, ON
Expert/Leader
Toronto, ON
Expert/Leader
This role involves leading technical strategy for data platforms, architecting large-scale systems, and enhancing self-service analytics capabilities while mentoring teams and collaborating across departments.
The summary above was generated by AI

Principal Engineer, Data Engineering is a key leadership role in the data organization. Reporting to the Director of Data, this person will run the technical roadmap and strategy for the data and machine learning platforms. 

You will make an impact by

  • Partnering closely with senior leadership to develop a multi-year technical strategy for the data platform, ensuring scalability, efficiency, and alignment with business needs.

  • Architecting a robust data platform that enables efficient ingestion, transformation, and modeling of data from diverse sources, ensuring seamless integration and high availability.

  • Enhancing self-service analytics capabilities by designing and implementing a strategy for well-structured, reliable reporting datasets that empower business users and analysts.

  • Optimizing data workflows to improve query performance, data freshness, and overall reliability, enabling faster insights and decision-making.

  • Establishing and enforcing best practices for data governance, quality, lineage, and security across the data platform.

  • Providing technical mentorship and guidance to analytics and data engineers, fostering a culture of best practices, knowledge sharing, and continuous learning.

  • Evaluating and implementing modern data tools and technologies, ensuring the platform remains at the forefront of industry best practices.

  • Developing and implementing effective communication strategies to translate technical concepts for both technical and non-technical stakeholders, enabling better cross-functional collaboration.

  • Building strong partnerships across Engineering, Product, Infrastructure, Security, Analytics, and Design teams to solve cross-functional challenges and drive data-driven decision-making.

You are a bar raiser, which means you come with:

  • Over 10  years of software development experience, with 7+ years specializing in data engineering and analytics.

  • Expertise in architecting, designing, and implementing large-scale data platforms, optimizing data pipelines, and enabling self-service analytics.

  • Demonstrated leadership in driving data strategy, including data modeling, governance, and platform scalability.

  • Strong problem-solving skills with a strategic mindset and attention to detail, ensuring efficient data processing and high-quality datasets.

  • Effective communicator and collaborator across technical and non-technical stakeholders, enabling data-driven decision-making.

  • Proficient in Python, SQL, Redshift, Spark, Databricks, DBT, Git, and other modern data technologies.

  • Proven track record in establishing processes for high-quality software development, data reliability, and operational excellence.

🤝  The Homie Way - These principles guide everything we do—from how we work and make decisions to how we show up for each other.

  • 💡 Be Customer Obsessed – Solve problems with empathy and creativity.

  • Move Fast, Learn Fast – Experiment, take action, and grow every day.

  • 🎯 Own Your Impact – Think big, focus on what matters, and make decisions you stand behind.

  • 🏆 Master Your Craft – Excellence fuels impact—show up, step up, and make your mark.

🏅 Win Together – Put goals over roles, lead with trust, and connect to our mission and each other.

What We Offer

  • 💰 Ownership & Savings: Stock options + TFSA/RRSP with 4% company match

  • 🏥 Health & Wellness: Comprehensive medical, dental, and vision for you and your dependents

  • ⏰ Time Flexibility: Flex time off + company holidays + designated focus periods

  • 👨‍💻 Ideal Setup: 3 days WFH (Mon/Thu/Fri), 2 collaborative office days (Tue/Wed)

  • 👶 Family Support: Maternity/Parental Leave EI top-up support offered (after 6 months of service)

  • 🌟 Work Your Way: Work From Anywhere Month + meeting-free weeks yearly

  • 🛡️ Protection Plans: Life insurance + short/long-term disability coverage

  • 🍽️ Workspace Perks: Meals provided, team offsites, and Customer Days

What to Expect During the Interview Process

  • Meet the Talent Acquisition team, Mavel W.

  • Meet the Hiring Manager, Kanchana P. 

  • Participate in two Technical Interviews 

  • Meet the Leadership team

  • Professional Reference Checks

  • Background Check + Offer Stage

  • Welcome to the team, Homie💜🎉

💜 Belonging at Homebase - We're committed to fostering a welcoming space where every Homie can be their full self. Experience comes in many forms—so if you're excited about this role, even if you don’t meet 100% of the qualifications, we encourage you to apply! 

Homebase will consider qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance.

👋 Hey, We’re Homebase

Unstoppable teams start here.

Homebase is the everything app for hourly teams—built to simplify the day-to-day and superpower local businesses. With tools for scheduling, time clocks, payroll, communication, HR, and more, we help teams stay connected and in control. Today, over 100,000 small (but mighty) businesses rely on us to make work radically easier. Together, we’ve tracked over a billion hours for 2.5+ million workers—and we’re just getting started.

At Homebase, we celebrate diversity and are proud to be an equal opportunity employer. We welcome all candidates and do not discriminate based on any legally protected status. If you need accommodations during the hiring process, please let us know—we’re committed to ensuring fair and equitable access for all.

Top Skills

Databricks
Dbt
Git
Python
Redshift
Spark
SQL

Similar Jobs

4 Hours Ago
Remote
Hybrid
Toronto, ON, CAN
Mid level
Mid level
Artificial Intelligence • Hardware • Information Technology • Security • Software • Cybersecurity • Big Data Analytics
Design and develop Computer Vision and Machine Learning algorithms, write production-quality C++ code for real-time systems, and create testing tools.
Top Skills: C++Computer VisionLinuxMachine LearningOpencvPython
Yesterday
Remote
Hybrid
9 Locations
Senior level
Senior level
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
CrowdStrike seeks a Senior Software Engineer to develop testing tools and frameworks for their cloud services, ensuring quality and reliability. Responsibilities include verifying functionality, improving automated test coverage, and maintaining test infrastructure.
Top Skills: Aws Ec2Aws S3C#C++CassandraDockerElasticsearchGoJavaJenkinsJSONKafkaKubernetesMemcacheMySQLNode.jsPostgresPythonRedisRestRpcScalaSqlserverXML
Yesterday
Hybrid
Toronto, ON, CAN
Mid level
Mid level
Artificial Intelligence • Hardware • Information Technology • Security • Software • Cybersecurity • Big Data Analytics
Seeking a Full Stack Angular Developer to create web apps, backend services, and mobile apps, using AWS and data mining. Collaboration with design teams and documentation required.
Top Skills: AngularAWSCapacitorCordovaGitNode.jsPlaywrightTypescript

What you need to know about the Montreal Tech Scene

With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.

Key Facts About Montreal Tech

  • Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
  • Major Tech Employers: SAP, Google, Microsoft, Cisco
  • Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
  • Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
  • Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
  • Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account