Engineering Manager

Posted 2 Days Ago
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Hiring Remotely in Victoria, BC, CAN
In-Office or Remote
Senior level
Information Technology • Software • Analytics
The Role
Lead the Data Ingestion and Platform Engineering team, optimizing data systems and managing cloud infrastructures while mentoring engineers and ensuring performance and cost efficiency.
Summary Generated by Built In

Job Title:  Engineering Manager, Data (Canada) 

 

Company Overview: Atreides helps organizations transform large and complex multi-modal datasets into information-rich geo-spatial data subscriptions that can be used across a wide spectrum of use cases. Currently, Atreides focuses on providing high-fidelity data solutions to enable customers to derive insights quickly.  

 

We are a fast-moving, high-performance startup. We value a diverse team and believe inclusion drives better performance. We trust our team with autonomy, believing it leads to better results and job satisfaction. With a mission-driven mindset and entrepreneurial spirit, we are building something new and helping unlock the power of massive-scale data to make the world safer, stronger, and more prosperous. 

 

Team Overview: We are a passionate team of technologists, data scientists, and analysts with backgrounds in operational intelligence, law enforcement, large multinationals, and cybersecurity operations.  We obsess about designing products that will change the way global companies, governments and nonprofits protect themselves from external threats and global adversaries.  

 

Position Overview: Atreides is seeking an Engineering Manager to lead our Data Ingestion and Platform Engineering efforts, building and operating the systems that transform large, complex multi-modal datasets into reliable, information-rich geospatial data subscriptions. You’ll manage and grow a high-performing team of data and platform engineers, drive execution through ambiguity, and partner cross-functionally to deliver low-latency processing, strong reliability, and scalable cloud infrastructure. This role also owns cloud cost and engineering KPI discipline—balancing performance, resiliency, and spend while improving the platform’s throughput, quality, and operational excellence. 

 

Team Principles: 

At Atreides, we believe that teams work best when they: 

 

  • Remain curious and passionate in all aspects of our work 
  • Promote clear, direct, and transparent communication 
  • Embrace the 'measure twice, cut once' philosophy 
  • Value and encourage diverse ideas and technologies 
  • Lead with empathy in all interactions 

 

 

Responsibilities: 

  • Lead, mentor, and coach data and platform engineers, providing technical guidance and career development.  
  • Maintain a steady, composed approach under pressure, guiding teams through ambiguity and technical complexity while staying focused on mission-critical outcomes. 
  • Build data processing systems to deliver actionable insights to end-usersOptimize data flows and streaming analytics to ensure fast, low-latency decision-making capabilities. 
  • Cloud & Distributed Systems: Work with cloud platforms (AWS, GCP, Azure) to deploy and scale big data systems. Utilize containerization (e.g., Docker, Kubernetes) and cloud-native services to ensure flexible and scalable platform infrastructure. 
  • Cloud Cost Management & KPIs  
  • Partner with Infrastructure and Finance to manage cloud costs across AWS/Azure/GCP, balancing performance, scalability, and spend.  
  • Implement and govern cost monitoring, budget controls, and rightsizing strategies for compute, storage, and networking.  
  • Define, track, and socialize engineering KPIs (e.g., reliability, throughput, defect rates, incident metrics) to drive transparency and continuous improvement. 

 

Required Qualifications: 

  • Proven experience managing remote teams, building career ladders, setting and tracking measurable goals, and creating strong engineering culture across multiple teams. 
  • Excellent verbal and written communication skills; able to drive clarity on complex technical topics and have direct conversations when needed. 
  • Willingness to support occasional travel and after-hours work when critical technical issues arise. 
  • Experience building and running platform capabilities used by multiple teams (e.g., ingestion frameworks, SDKs, workflow/orchestration, data contracts, schemas, observability, self-serve tooling). 
  • Strong foundation in distributed systems and production operations: scalability, backpressure, idempotency, retries, ordering, data consistency, and failure modes. 
  • 7+ years of professional software engineering experience, including 2+ years managing and developing engineers. 

 

Desired Qualifications: 

  • Knowledge or experience in visualizing remote sensing, GIS, satellite ground stations, satellite communication systems, RF communication links, and electrical/mechanical systems. 
  • Experience leading ingestion at high volume / high variability (e.g., many sources, frequent schema changes, messy upstream systems) and building patterns to scale integrations. 
  • Experience with developer productivity investments: CI/CD, golden paths, scaffolding, local dev environments, test data strategies, and runtime debugging tools. 

 

Compensation and Benefits: 

  • Competitive salary  
  • Comprehensive health, dental, and vision insurance plans 
  • Flexible hybrid work environment 
  • Additional benefits like flexible hours, work travel opportunities, competitive vacation time and parental leave   

 

While meeting all of these criteria would be ideal, we understand that some candidates may meet most, but not all. If you're passionate, curious and ready to "work smart and get things done," we'd love to hear from you. 

Top Skills

AWS
Azure
Docker
GCP
Kubernetes
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The Company
HQ: Victoria, British Columbia
35 Employees

What We Do

We turn massive-scale data into clear, actionable insights. By applying advanced analytics to multi-sourced data, we gain a comprehensive understanding of organizations, events, and behaviors. For years, firms around the world have been trying to make better use of data and automation. But for all its promise, the big data revolution still hasn’t come of age. Why? Because most of today’s solutions aren’t tailored and are prohibitively expensive. This is where Atreides comes in. Instead of drowning you in data, we provide you with the 0.05% of the data you actually care about – empowering you to quickly and easily realize the promise of massive-scale data.

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