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Beacon Software

Senior Data Engineer

Reposted 16 Days Ago
Easy Apply
In-Office
Toronto, ON, CAN
Senior level
Easy Apply
In-Office
Toronto, ON, CAN
Senior level
Design, build, and maintain scalable ETL pipelines to ingest portfolio company data into a centralized data warehouse. Standardize schemas, create unified data models, ensure data quality, observability, and governance, and enable programmatic access for analytics and AI. Drive long-term, extensible architecture and onboarding of portfolio companies.
The summary above was generated by AI

Beacon Software is a permanent capital holding company which acquires and grows essential businesses. We are a profitable series B+ firm that combines great technologists, operators and M&A professionals to accelerate the scale of the ambition of the dozens of businesses we own and operate. We are supported by capital from tier-1 venture capital, crossover, and endowment investors as well as the founders of the leading technology companies from the past decade.

We are growing our team in Toronto, San Francisco, and New York. Apply below.

Senior Data Engineer

Location: Hybrid, Toronto

About Beacon

Beacon Software is a permanent capital holding company which acquires and grows essential businesses. We are a profitable series B+ firm that combines great technologists, operators and M&A professionals to accelerate the scale of the ambition of the dozens of businesses we own and operate. We are supported by capital from tier-1 venture capital, crossover, and endowment investors as well as the founders of the leading technology companies from the past decade. We are growing our team in Toronto, San Francisco, and New York.

We operate with high agency, speed, radical transparency, and a culture of high kindness and super high competence.

The Role

We are hiring a Data Engineer to build the data backbone of Beacon.

Our vision is to create a unified technical foundation and single pane of glass that ingests data from across our portfolio to generate real-time insights and actionable items for our operators of all disciplines.

A core mandate of this role is to design, build, and maintain scalable data pipelines from our portfolio companies into a centralized Beacon Data Warehouse. This data will allow our teams to gain insight, perform analysis, and drive product decisions that will elevate how we operate our portfolio companies.

You will help transform fragmented operational data into a clean, unified, analytics-ready foundation that drives real-time decision-making and AI automation across the portfolio.

What You’ll DoBuild Portfolio-Wide Data Infrastructure
  • Design and implement robust ETL pipelines from portfolio company systems into the Beacon Data Warehouse
  • Work with our Platform team to standardize schemas across heterogeneous vertical SaaS products
  • Build ingestion frameworks that scale as we grow our portfolio of companies
  • Ensure reliability, observability, and data quality across all pipelines
  • Create unified data models that enable cross-portfolio insights
  • Partner with product and engineering to make data programmatically accessible
Data Governance & Quality
  • Implement data validation, testing, and monitoring frameworks
  • Establish documentation and data lineage standards
  • Create scalable access controls and security practices
  • Ensure compliance and auditability across systems
Be a Systems Thinker
  • Design for long-term leverage, not short-term patching
  • Make principled architectural decisions as we move toward a shared technical foundation
  • Help define how data becomes a durable competitive advantage
What Great Looks Like
  • Portfolio companies onboard into the warehouse in weeks, not months
  • Leadership can see standardized metrics across all businesses in one view
  • AI agents have clean, structured, trustworthy data to act on
  • Data models are extensible and support future acquisitions
What We’re Looking ForRequired
  • 4+ years building production-grade data pipelines
  • Strong experience with modern data stacks
  • Deep SQL expertise
  • Experience integrating APIs and ingesting data from SaaS platforms
  • Experience designing scalable, well-modeled warehouses
  • Strong data quality and observability practices
Preferred
  • Experience in multi-entity or multi-tenant data environments
  • Background at high-growth startups or experience as a founder (we value high agency)
  • Experience with event-driven architectures and streaming systems
  • Experience supporting ML or AI systems with production data
Who You Are

You likely:

  • Have high agency — you do not wait for permission or perfect specs
  • Think in systems, not tickets
  • Thrive in radical transparency and low-bureaucracy environments
  • Want to build something compounding and generational

If you want to build the data engine behind a generational software company — not just dashboards — let’s talk!


Our Values at Beacon Software

  • Humility: We acknowledge that the path to getting to the right answer involves being wrong along the way. We have strong beliefs which are weakly held. We actively seek new ideas and believe we can learn from anyone at any time. 
  • Honesty: We are truth seeking in our approach to business problems. Business is a repeat game and we believe that human relationships generate alpha. We understand that trust is earned over a lifetime and can be lost in an instant. 
  • Hunger: We play to win. We hold ourselves to high standards and will not be outworked. We take pride in having a deep sense of responsibility to ourselves, each other, our partners, and our customers. We believe to whom much is given much is expected.
  • Horizon: We seek to build a generational software company. This will take decades. We manage our expectations and those of our partners to take advantage of the 8th wonder of the world - compounding growth.
How We Use AI in Our Hiring Process: To ensure transparency, we want candidates to know that Beacon Software uses Artificial Intelligence and AI-enabled tools to assist with screening, reviewing, organizing and highlighting profiles and applications that match the key requirements for each role. 
 
AI does not make hiring decisions: Every application is reviewed by a member of our team, and all decisions throughout the process are made by humans. We use AI to support efficiency and consistency, not to replace human judgment. We are committed to a fair, thoughtful, and equitable experience for every candidate.  
 

Top Skills

Api Integration
Data Lineage
Data Modeling
Data Observability
Data Validation
Data Warehouse
ETL
Event-Driven Architecture
SQL
Streaming Systems
HQ

Beacon Software Toronto, Ontario, CAN Office

2 Bloor St W, Toronto, ON , Canada, M7A 2T2

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