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Added 1 month ago
Success Insights Manager
Okta
Toronto, ON
Knowledge of Salesforce.com, Gainsight, Pendo, Tableau, Databricks, Snowflake, etc. to get the data and insights you need to successfully design, execute, and monitor programs.
Added 4 months ago
WT
Future Opportunities: Sr Software Developer - Platform Engineering
Wealthsimple Technologies
Remote, Canada
- $151,200 to $189,000 CAD / year
- Full-time
- Remote
You'll join one of our Platform teams and take ownership of significant pieces of the developer experience. You'll work hands-on across the full lifecycle: designing, building, shipping,…
Added 4 months ago
A
Design Engineer - Canada
Ashby
Remote, Canada
- $121,000 to $248,000 CAD / year
- Full-time
- Remote
…week, and notable customers like Notion, Linear, Shopify, and Snowflake. You’ll get to test out ideas with our own recruiting team and hiring managers who use Ashby every day (like me), and…
Added 6 months ago
JA
AI Engineer - Banking Domain
Jay Analytix
Montreal, Quebec
- Contract
Experience with SQL and distributed data platforms (Spark, Databricks, or Snowflake).
Added 4 months ago
B
Data Engineer
Bounteous
Montreal, Quebec
- Full-time
3-5 years of experience in Snowflake and DB2 databases.
Added 4 months ago
TG
Senior Business Intelligence Business Analyst
TMX Group
Toronto, Ontario
- Full-time
Collaborate with technical teams on solution design, implementation, integration and transformation, working specifically with the Snowflake back-end platform and various source systems.
Added 4 months ago
IL
Advanced Engineer, Product Engagement
Invesco Ltd.
Charlottetown, Prince Edward Island
- Full-time
…The vision is to utilize technologies such as MuleSoft, AWS, Snowflake and Alfresco to deliver the data and content required to the Vermilion Reporting Suite. The squads are determined to…
Added 4 months ago
B
Senior Java Data Engineering Developer
Bounteous
Montreal, Quebec
- Full-time
…a modern, cloud-first data platform built on Databricks and Snowflake. As part of this engagement, consultants will embed directly with the client's engineering team, contributing hands-on…
Added 3 months ago
AI Native Engineer
CookUnity
Toronto, Ontario
Added 4 months ago
HR analytics lead
Sobeys Capital Incorporated or a Franchise/Affiliate / ou une franchise/société affiliée
Calgary, Alberta · Stellarton, Nova Scotia · Mississauga, Ontario
Added 2 months ago
FC
Machine Learning Analyst
Fidelity Canada
Toronto, ON
- Full-time
Work with enterprise data platforms such as Snowflake to prepare, query, transform, and analyze structured and unstructured data for AI/ML and Generative AI use cases.
Added 5 months ago
ST
Technical Product Manager
Sensor Tower
Remote, Canada
- Full-time
- Remote
Familiarity with BI industry players like Snowflake, AWS, Databricks, Tableau, Amplitude, Mixpanel.
Added 6 months ago
ST
Technical Product Manager
Sensor Tower
Remote, Canada
- Full-time
- Remote
Familiarity with BI industry players like Snowflake, AWS, Databricks, Tableau, Amplitude, Mixpanel.
Added 4 months ago
S
Sales Development Representative
Snowflake
Toronto, Ontario
- $50,400 to $66,150 CAD / year
- Full-time
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent…
Added 1 month ago
Engineering Manager – Data Platform, Lakehouse Foundation
Lyft
Toronto, ON
Experience managing data infrastructure or platform teams. Direct experience with lakehouse architectures (Databricks, Snowflake) and modern table formats (Delta, Iceberg, Hudi) strongly…
Added 4 months ago
D
Senior Data Scientist
DAC
Toronto, Ontario
- Full-time
Experience with Snowflake or similar cloud data warehouses
Added 4 months ago
M
Director, Data Science
Mastercard
Toronto, Ontario
- Full-time
Provide hands-on technical leadership in model development, deployment, and governance across cloud environments (Azure, Snowflake, Spark).
Added 5 months ago
PS
Senior Developer, Data Analytics Delivery
Public Sector Pension Investment Board
Montreal, Quebec
- Full-time
As a member of the Data and Analytics Platform delivery team, the Senior Developer, Data Analytics Delivery will ensure that the various business stakeholders’ needs are met while…
Added 5 months ago
NF
Senior/Staff/Principal Software Developer
Neo Financial
Calgary, Alberta
- Full-time
This role is for an experienced developer who has shipped real systems at scale, has strong opinions about how to build them, and is ready to be accountable for what goes live. Our stack is…
Added 5 months ago
IN
Senior Data Engineer
IKO North America
Mississauga, Ontario
- Full-time
Strong foundational knowledge of Data Warehousing and Lakehouse architectures, including star/snowflake schemas, Slowly Changing Dimensions (SCD), and data governance frameworks to ensure…
Added 5 months ago
TA
Sr. Manager / Associate Director - Commercial Data Product (Pharma/ Life science
Tiger Analytics Inc.
Remote, Canada
- Full-time
- Remote
…role will lead a small, dedicated pod to design and build a Snowflake-native, Power BI–aligned data product from the ground up. The position gives an opportunity to focus on data product…
Added 5 months ago
PM
Senior Business Analyst
Picton Mahoney Asset Management
Toronto, ON
- Full-time
…enhancements across Charles River IMS (CRIMS), Bloomberg DL, Snowflake ODS, and other trading and market data systems. You’ll be responsible for translating complex business requirements…
Added 5 months ago
BS
Member of Technical Staff
Beacon Software
Toronto, Ontario
- Full-time
Data platform. The cross-portco data lake on Iceberg with Snowflake or Databricks as the query engine. Per-portco S3 and KMS isolation. The ingestion pipeline from QuickBooks, HubSpot,…
Added 5 months ago
BS
Forward Deployed Engineer
Beacon Software
Toronto, Ontario
- Full-time
Comfort with Iceberg-based data platforms (Snowflake, Databricks) and event-driven systems
Added 5 months ago
IL
Senior Engineer – Digital Distribution & Engagement
Invesco Ltd.
Charlottetown, Prince Edward Island
- Full-time
3–5 years of experience working with Snowflake

Lyft

Engineering Manager – Data Platform, Lakehouse Foundation

Toronto, ON, Canada

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Job details

Experience: 3+ years of experience as an Engineering Manager, leading teams of 5+ engineers including senior individual contributors
Posting language: English
Posted: Sep 4, 2026

Original job description

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

As the Engineering Manager for the Lakehouse Foundation team, you will lead a group of engineers responsible for the foundational data layer that all of Lyft's data systems and emerging AI workloads are built on. The team owns catalog and metadata management, table formats and storage, and the access patterns and gateways through which other engineering teams interact with Lyft's data. As Lyft converges on a unified lakehouse architecture, this team builds and operates the single source of truth that powers analytics, machine learning, experimentation, and every business decision made from data. You will play a key role in shaping the team's technical direction, partnering with peer Data Platform teams on a multi-year platform evolution, and developing engineers who operate with autonomy on systems of significant scale and complexity.

Lyft's Infrastructure teams build the foundational systems that the rest of engineering depends on to move fast, ship reliably, and scale efficiently. These are high-leverage roles where the work you and your team do has a multiplicative effect across the company. We're looking for experienced leaders who can balance the discipline of operating critical infrastructure with the curiosity to keep evolving how Lyft builds.

Engineering at Lyft is a place where managers and engineers operate with high ownership and strong technical judgment. Our engineers expect their managers to be honest, available, and focused on the work that matters: developing their teams, removing obstacles, and giving people the support they need to do their best work. We build teams that are inclusive, technically rigorous, and have a strong sense of ownership for what they build.

Responsibilities:

Lead a team responsible for Lyft's foundational data layer, including catalog and metadata management, table formats (Iceberg/Delta), and the gateway and access patterns that all other data systems build on
Drive the team's contribution to Lyft's multi-year lakehouse modernization, including the migration to Unity Catalog and the convergence of metadata across the data stack
Partner with peer Data Platform teams (Compute, Data Trust & Governance, Data Orchestration, Streaming) and engineering organizations across Lyft to ensure the foundation evolves coherently with the systems built on top of it
Define and own the team's technical direction, balancing platform-level investment with the day-to-day reliability needs of a foundational layer that thousands of pipelines and queries depend on
Mentor and guide the professional and technical development of engineers across levels, including senior individual contributors operating at staff level and engineers early on in their careers
Ensures the team operates with strong ownership, makes effective decisions in ambiguous and high-stakes situations, and demonstrates technical rigor in a domain where mistakes propagate across the company's data systems
Foster a culture of cross-team engagement, where engineers proactively partner with customers and adjacent teams rather than working in isolation
Provide ongoing feedback and coaching, recognize individual contributions, and ensure each engineer has clear expectations and support to grow in their role
Own your team's deliverables and ensure that the foundational systems they own remain reliable, scalable, and well-understood by the broader engineering organization

Experience:

3+ years of experience as an Engineering Manager, leading teams of 5+ engineers including senior individual contributors
Experience managing data infrastructure or platform teams. Direct experience with lakehouse architectures (Databricks, Snowflake) and modern table formats (Delta, Iceberg, Hudi) strongly preferred
Track record of leading teams through multi-quarter platform migrations or major architectural transitions, with demonstrated ability to make strategic decisions under ambiguity and navigate cross-team dependencies
Experience operating as the primary cross-org partner on initiatives that span multiple engineering teams, including aligning technical direction with peer teams, vendors, and senior stakeholders
Track record of developing engineers, including senior individual contributors on a staff trajectory, by matching them to ambitious technical scope and supporting their growth
Experience leading geographically distributed teams across time zones, including building communication practices that keep distributed teams operating as one integrated organization
Technical background sufficient to contribute meaningfully to architecture and design discussions, evaluate technical tradeoffs, and provide credible direction to senior engineers
Experience building inclusive teams with strong ownership culture
Excellent written and verbal communication, including the ability to operate at the strategic level with senior leadership and at the technical level with engineers

Benefits:

Extended health and dental coverage options, along with life insurance and disability benefits
Mental health benefits
Family building benefits
Child care and pet benefits
Access to a Lyft funded Health Care Savings Account
RRSP plan with company match to help save for your future
In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service
Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
Subsidized commuter benefits and Lyft ride credits

Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule - Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the Toronto area is CAD $172,000 - CAD $215,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.

This job fills an existing vacancy.

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More about this job

Responsibilities

Lead the Lakehouse Foundation team in managing the foundational data layer, including catalog, metadata, and table formats. Drive the multi-year modernization of Lyft's data platform while mentoring engineers and ensuring system reliability.

Requirements

Requires 3+ years of engineering management experience leading teams of 5+ and a strong background in data infrastructure. Preference for experience with lakehouse architectures like Databricks or Snowflake and modern table formats like Iceberg or Delta.

Skills

Engineering Management
Data Infrastructure
Lakehouse Architecture
Metadata Management
Table Formats
Strategic Planning
Technical Leadership
Mentorship
Cross-functional Collaboration
System Scalability
Architecture Design
Stakeholder Management

Benefits

Extended Health Coverage
Dental Coverage
Life Insurance
Disability Benefits
Mental Health Benefits
Family Building Benefits
Child Care Benefits
Pet Benefits
Health Care Savings Account
RRSP Plan With Company Match
Flexible Paid Time Off
Paid Parental Leave
Subsidized Commuter Benefits
Lyft Ride Credits

Visa sponsorship

Not detected in the job text

Keywords

Lakehouse
Data Platform
Unity Catalog
Iceberg
Delta Lake
Hudi
Databricks
Snowflake
Metadata Management
Data Infrastructure
AI Workloads
Machine Learning
Analytics
Distributed Teams
Scalability
Data Governance
Data Orchestration
Streaming
Software Engineering
Infrastructure

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