Data Architect at Planitar — NeverHard

ABOUT US At Planitar, we build technology that helps people see and understand the world’s spaces more clearly. We are the creators of iGUIDE, a powerful property technology solution that combines immersive 3D tours, accurate floor plans and reliable spatial data into a single, easy-to-use system. Our cameras and software platform are used by professionals in real estate, insurance, construction and property management to simplify their work and deliver better results. Planitar recently joined REA Group, one of the world’s leading digital property companies. REA operates Australia’s largest residential and commercial property platforms, including realestate.com.au and has a growing global footprint across Asia and North America. Together, we are shaping the future of property technology, combining Planitar’s deep spatial data expertise with REA’s global scale and innovation engine. We work in a hybrid environment headquartered in Waterloo, Ontario and are growing quickly as we expand our impact worldwide. OUR VISION A connected future where reliable spatial data enables informed decisions across the property lifecycle. We believe that accurate, accessible spatial data has the power to transform how people buy, sell, insure, build and manage property. OUR VALUES Our values guide how we work, build and grow together. Integrity: We do the right thing, even when it’s hard. Teamwork: We are one team, on a big mission. Innovation: We value creative solutions for emerging opportunities. Accountability: We honour our commitments. We operate in the proptech space, where high-accuracy measurement data from cameras, LiDAR, and other sensors becomes the floor plans, virtual tours, and spatial products our customers rely on. Our data lake brings that sensor data together with application and operational data from across the business, and we're looking for a Data Architect to shape how it all fits together. You'll own the architecture and direction of our data platform — making the calls on ingestion, storage, modeling, and access that determine how well the rest of the company can build on our data. You'll partner closely with our cloud platform team, full-stack engineers, and stakeholders across product, ML, and operations, and you'll have the scope to define standards and practices that a growing data function will be built around. This is a role for someone who's done this before at meaningful scale and wants to set direction, not just execute against it. What you'll do Define the architecture and long-term direction of our data platform — ingestion pipelines, lakehouse design, schema and access patterns — and make the build-vs-buy, tool-selection, and trade-off calls that shape it Establish the standards and practices that future data hires will build on, from schema design to data quality to pipeline reliability Partner with stakeholders across the organization to bring new data sources into the platform and shape how that data is modeled for downstream use Design, build, and operate systems across our stack: Backend: Python Infrastructure: PostgreSQL, AWS S3, Kafka, Terraform Lakehouse: Databricks, Snowflake, Redshift, BigQuery (or similar) Lead architecture discussions and roadmap planning; raise the bar for engineers working with data across the company through design review and day-to-day collaboration Drive performance and cost optimization as a first-class concern, not an afterthought What we're looking for Significant hands-on experience designing and operating production data platforms at scale — you've made the architectural decisions, lived with the consequences, and know what you'd do differently Deep fluency with a modern data stack (streaming ingestion, lakehouse or warehouse, orchestration, IaC) and strong backend engineering chops in Python, or a comparable language Track record of setting technical direction and influencing decisions beyond your immediate team — you're comfortable being the person others look to for the call Strong product instincts: you ask why a dataset matters before you ask how to store it, and you translate ambiguous business problems into durable technical solutions Comfort with ambiguity and the judgment to know when to formalize versus when to stay flexible — especially valuable in a role that's defining the shape of things Bonus points for Experience with spatial or geometric data at volume, and the schema, latency, and storage challenges that come with it Experience across mobile, hardware, and web product surfaces Deep AWS + Terraform background Strong CI/CD and platform engineering instincts WHY WORK AT PLANITAR We’re in an exciting phase of growth; evolving our technology, expanding globally and scaling our operations. This is your opportunity to shape the future of property technology alongside a talented, driven team. We offer: 100% employer-paid flexible benefits plan Comprehensive Health & Dental coverage 3% RRSP/DPSP Match Health Spending Account (HSA) or Lifestyle Spending Account (LSA) options A collaborative and innovative culture Opportunities to grow as we scale The backing of a global industry leader through REA Group If you’re excited about building technology that makes property decisions smarter and more connected, we’d love to hear from you. INCLUSIVE HIRING AND USE OF AI Planitar is committed to building a diverse, equitable and inclusive workplace where different perspectives are valued and everyone has the opportunity to thrive. We welcome applications from individuals of all backgrounds and experiences. We are committed to providing an accessible recruitment process in accordance with the Accessibility for Ontarians with Disabilities Act (AODA). If you require accommodation at any stage of the hiring process, please let us know and we will work with you to meet your needs. In alignment with Ontario legislative requirements, we use artificial intelligence (AI) tools in a limited capacity to assist with summarizing interview notes after interviews have been conducted. We do not use AI to screen, assess or make hiring decisions about candidates. All application reviews and hiring decisions are made by our team.