DAT-011 Principal Software Engineer, Data

Toronto

Our Client is the fastest-growing Proptech company in the history of commercial real estate (CRE) who are transforming a $15 trillion dollar industry with their award-winning platform which is used to manage over 60% of all office buildings.

Headquarters are in NYC, with hubs in other major US cities, Toronto, CA, and London, UK.

Our mission is to be Commercial Real Estate’s modern operating system, the place where deals happen, customer relationships are nourished, and real-time market data comes to life. We're growing at an incredible pace and are looking for a Principal Software Engineer in data to join our growing platform team. We're looking for a thought leader for our engineering team, motivated to help us rethink how we build software, drive those changes across engineering, and eager to continue growing and mentoring.

What Makes This Job Awesome?

  • Influence the direction of the data and machine learning, ensuring we build and maintain solutions which provide knowledge and insights to internal and external customers
  • You will own key areas within our data strategy by envisioning, designing, creating, building and supporting key components of the data infrastructure. This infrastructure needs to operate with a high degree of operational excellence
  • You will be responsible for coordinating and organizing patterns and practices for data management and machine learning
  • Lead the way by staying up to date with tools, trends, technologies and best practices, and then sharing that knowledge in a meaningful way to advance the overall state of technology for the entire organization
  • Support and mentor our senior and staff engineers by being the go-to-person for questions but never be a bottleneck, see around the corner and anticipate engineers' needs, broadly distribute knowledge, and generally evangelize the platform
  • Be responsible for software, data, and machine learning architecture including determination of current limitations and compatibilities between subsystems, selection of new concepts and methodology, and development of major components
  • Lead by example and produce high-quality code that establishes coding standards and best practices for the team
  • Create technical requirements, software design specifications and other forms of architectural documentation Investigate and resolve application issues, bottlenecks, and inefficiencies
  • Exert technical influence over multiple teams, increasing their productivity and effectiveness by sharing your deep knowledge and experience
  • Effectively communicate technical and business risks to stakeholders to ensure that the most informed decisions are being made
  • Play a critical role in planning, working closely with senior leaders to develop plans, resource requirements, and influence our long-term technical and business strategy

What Makes You A Great Fit?

  • Solid CS fundamentals with experience across a range of disciplines, with more than one area of deep knowledge and experience
  • 10+ years of software engineering experience, with a proven track record of leading large-scale, high availability and fault-tolerant SaaS or consumer applications
  • Proven track record of senior technical leadership at a company with a strong engineering culture
  • Extensive experience designing and implementing machine learning solutions to simplify the data science workflow
  • Deep understanding of system performance trade-offs, load balancing, and engineering for high availability.
  • Extensive experience with database design, queueing, caching, containers, APIs, security, and the operational aspects of running large systems
  • Excellent planning/execution skills including estimating and scheduling
  • Extensive experience designing, building and owning large scale distributed systems
  • Capable of driving and delivering thin slices of end-to-end functionality on a regular cadence with data-driven feedback loops
  • Strong problem-solving skills; adaptable, proactive and willing to take ownership and deal with ambiguity
  • The ability to work in a highly collaborative environment
  • Strong customer empathy and a focus on quality
  • Ability to create consensus among passionate stakeholders in a dynamic, fast-paced environment through excellent verbal and written communication skills