Engineering Manager - Data Platform

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.

About Us Permutive’s mission is to rebuild data in advertising to protect privacy. The open internet needs a sustainable foundation that funds the free & open online experiences we all rely on. Permutive’s data collaboration platform uses edge technology to securely process data where it is and AI to discover signals that drive performance, respecting consumers’ privacy preferences while delivering outcomes for publishers & advertisers. Our customers include some of the world’s largest media companies and advertisers, including News Corp, Warner Brothers Discovery, Hearst, The Guardian, Sky, State Street, Sonos, and Apple, and we’re backed by leading investors like SoftBank Vision Fund and Y Combinator. About The Team Data Foundation owns the data platform the rest of Permutive is built on. We process around 75,000 events per second on average, with peaks approaching 200,000, and turn that firehose into the catalog of event data, identities, and third-party marketplace data that every other team draws on. Ingestion, storage, identity resolution, routing, and external data onboarding are all ours. Doing this well is a genuine engineering challenge. Most of our processing is live and stream-based rather than overnight batch, so maintaining consistency in near real time is a constant problem to solve. And at this volume, cost is an engineering concern in its own right, it's easy to make it explode, and keeping it under control takes real care. The team is platform heavy but maintains product surfaces: external data onboarding has a customer facing experience, and the team owns the APIs and controls through which customers and internal teams manage data flows. About The Role We're looking for an Engineering Manager who combines solid engineering foundations with the ability to build, support, and grow a high-performing team. You'll partner closely with a strong Tech Lead and work alongside other Engineering Managers and Product to shape how the wider platform evolves. Your engineering background matters, you'll engage in architectural trade-offs and help your team navigate complex distributed systems problems, but your primary impact will be through the people you lead and the clarity you bring to their work. What you'll be doing? * Owning the team's roadmap. Product, your Tech Lead, and the other Engineering Managers will all have a view on what to build and you'll weigh it, but the roadmap is yours to shape and yours to answer for. This is a role with genuine autonomy, you decide where the team invests and you own the outcome. * Shaping the technical direction. You won't be writing production code, but you'll be in the architecture conversation, pushing on trade-offs, asking the sharp questions, and making sure the team is solving the right problem the right way. On a platform this technical, that judgement matters. * Building the team. You'll be responsible for the growth, performance, and day-to-day support of your engineers and for how the team works together. We care about culture, collaboration, and how we improve over time, and you'll have real ownership over building the kind of team people are proud to be part of. * Underpinning everything. Data Foundation's systems are consumed by every other team, what you build shows up across the whole platform. That reach is the leverage of the role: get the foundations right, and you make everyone faster. You'll be doing all of this in a genuinely collaborative environment. We've worked hard to build a team with real psychological safety — where people can speak up, disagree well, and where good ideas win regardless of who they come from. It's a good place to work, and keeping it that way matters to us. What you'll need? * Experience managing a team of engineers (3+ engineers) in a delivery-focused environment. * You need to have actually managed people — supported their growth, had difficult conversations, and taken ownership of team outcomes. * A strong engineering background in distributed systems, data platforms, or similarly complex domains. * We're not looking for someone who can pair-program with the team tomorrow, but we do need the technical depth to lead this team credibly — to make sound judgements at the architecture level — even if you're no longer hands-on day to day. * The ability to work alongside strong technical ICs as a genuine partner; engaging with their thinking, helping them do their best work, and communicating clearly across technical and non-technical audiences. We'd be particularly excited if you have * Experience with data platform systems — ingestion pipelines, ETL orchestration, streaming or batch processing at scale. * Familiarity with Scala, the JVM, or functional programming. * Experience operating in a domain with strong privacy or compliance constraints — ad tech, health tech, fintech, or similar. * Experience with identity resolution, data onboarding, or third-party data integrations. * None of these are requirements. If you don't have much from this list, that's genuinely fine — if the role and the team sound like a fit, we'd encourage you to apply. What we’re offering We take a structured, objective approach to salary-setting, which is based on market information, our compensation strategy, and your experience and capability as assessed through our interview process. For a typical candidate who meets our requirements, we would pay between £110,000 - £130,000 + options. Permutive Benefits * In this together: As a full-time employee, you'll become a shareholder with stock options, sharing in our collective success. * Family Comes First: Primary caregivers receive up to 6 months of fully paid leave and secondary caregivers receive 3 months of fully paid leave to bond with their little ones. * Your Health, Our Priority: Private medical insurance through Bupa ensures you get fast access to quality care whenever you might need it. * Your Time, Your Way: Flexible hours let you fit work around your life, whether it's hitting the gym, meditating, or handling family needs. * Upgraded Workspace: A £350 budget helps you create the perfect home office setup. * Recharge & Refocus: Unlimited paid time off (with a minimum of 25 days + public holidays) ensures you get the rest you need. * Grow with Us: Ongoing training and development opportunities fuel your career aspirations. * Mental Health Matters: We prioritise your well-being with free access to Spill, our mental health partner. * Secure your future: Our pension plan with Penfold helps you secure your financial future (employer contributes 3%, employee contributes 5%).     Work Your Way Permutive trusts you to manage your time and deliver results. Our hybrid model allows you to choose where you work best, whether in your own productive space or our London (Farringdon) or New York (Union Square) offices. That said, none of us work alone; we are part of a team.  To foster collaboration and connection, teams in these locations come together in person at least once a week and are encouraged to benefit from being in our offices to meet with teams more often. Commercial and customer-facing teams are encouraged to embrace in-person interactions to build lasting relationships with clients and colleagues.  Every Permutive employee gets together in person at the company’s Annual Kick Off for a week in February.  Each year’s event promises to be an exciting opportunity for us to come together, reconnect with colleagues, and align on our shared vision for the year ahead. Diversity, Equity & Inclusion At Permutive, we’re taking a thoughtful, intersectional, long-term approach to diversity, equity & inclusion. We care deeply about creating an inclusive work environment that allows everyone to flourish, and we are taking continual action to progress in that direction. We’re committed to hiring people regardless of race, religion, colour, national origin, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, age, neurodiversity status, disability status, or otherwise.