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Added 2 mins ago
Product Support Specialist I
Prenuvo
Vancouver, BC
We are looking for a motivated Product Support Specialist I to join our team. You have a passion for understanding and supporting your users, and you take pride in resolving their problems…
Added 16 mins ago
Head of MyG Core Workflows
Geotab
Oakville, ON
…to help customers better manage their fleets. Geotab’s open platform and Geotab Marketplace ®, offering hundreds of third-party solution options, allows both small and large businesses to…
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RB
Senior Security Specialist - Cloud (Global Security)
Royal Bank of Canada
Toronto, ON
- Full-time
Work as part of the team assessing and improving the security of our public cloud environments (Amazon Web Services, Microsoft Azure, and Google Cloud Platform).
Added 16 mins ago
SS
Outbound Business Development Representative (BDR)
Safe Software
Remote, Canada
- $73,500 CAD / year
- Full-time
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Safe Software transforms organizations with FME, the only All-Data Any-AI Enterprise Integration Platform connecting all your data, anywhere, at any velocity.
Added 29 mins ago
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ON · Ontario, Canada
- Full-time
…traditional voiceover, Voice AI, and ethically sourced voice data. For more than two decades, the biggest and most beloved brands have trusted Voices to find their voices and bring their…
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- Full-time
14+ years of experience in Enterprise Data Architecture, Hadoop Ecosystem, Big Data Engineering, and Data Platform Modernization.
Added 29 mins ago
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Data Specialist
AgileGrid Solutions
Canada
- Full-time
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E
Manager, Software Engineering
Emburse
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- Full-time
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Added 32 mins ago
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Toronto, ON · Ottawa, ON · Montreal, QC · Vancouver, BC · Calgary, AB
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Toronto, ON · Ottawa, ON · Montreal, QC · Vancouver, BC · Calgary, AB
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…systems, and provide proactive solutions to safeguard sensitive…
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Sr. Business Systems Analyst
TD
London, ON · Toronto, ON
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Student, Associate Software Engineer (Fall, 2026)
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Waterloo King
- Part-time
Currently pursuing a degree in Computer Science, Software Engineering, Computer Engineering, Data Science, or a related field.
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PICTON Investments

Vice President, Data Engineering

Toronto, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 5, 2026
Experience: 10+ years of experience in data engineering, data platforms, architecture, or technology leadership, including significant team leadership experience.
Posting language: English
Posted: Oct 6, 2026

Original job description

Best Workplaces™ in Canada 2020 - 2026 | Best Workplaces™ with Most Trusted Executive Teams 2024 - 2026 | Best Workplaces™ in Financial Services & Insurance 2020 - 2026 | Best Workplaces™ for Mental Wellness 2023 - 2026 | Best Workplaces™ for Giving Back 2022, 2024 | Best Workplaces™ for Inclusion 2021, 2024 | Best Workplaces™ for Women 2021 | Best Workplaces™ in Ontario™ 2020, 2021, 2024 | Best Workplaces™ for Professional Development 2025 | Best Workplaces™ for Young Talent 2026

One of Canada’s Most Trusted Investment Brands.

At Picton Mahoney Asset Management (PICTON Investments), being alternative isn’t just what we do - it’s who we are.

Founded by industry pioneer David Picton, we’ve spent 20 years challenging conventional wisdom and redefining the investing landscape. As one of Canada’s most trusted investment brands, we are proudly independent - privately run, 100% employee-owned, and deeply committed to delivering results for our clients.

Thinking Alternatively is in Our DNA

With a team of 233 bold thinkers - one-third dedicated solely to investment management - we are specialists, not generalists. Managing over $19.9 billion (September 30, 2026) for institutional and retail clients, we navigate markets with conviction, resilience, and a forward-thinking approach.

We’re more than investors - we’re innovators. We challenge traditional investment mindsets, constantly pushing the boundaries to achieve our mission: To bring greater certainty to investors.

Our success is built on four guiding principles:

Treat investors’ money like our own.
Redefine the way investors invest.
Be human - always approachable.
Succeed together, one investment at a time.

These aren’t just words - they define how we think, how we invest, and how we work.

Now, we’re entering our next chapter. We’re transforming our brand and reshaping the way the world invests. If you think alternatively, embrace an entrepreneurial spirit, and thrive in a dynamic, bureaucracy-free environment, join us and be part of what’s next.

Thriving in Our Entrepreneurial Culture

At PICTON Investments, you’ll thrive in our creative and dynamic workplace, where collaboration and support are at the core of everything we do. At our firm, you’ll have the opportunity to take on significant responsibilities, work in a flexible environment, and tackle challenging projects from the outset. Our culture is designed for ambitious professionals who want to make an immediate impact while continuing to push boundaries and achieve our greater mission. You’ll be empowered with a high level of responsibility, trust, and flexibility, providing an exciting and creative space for you to help reshape how the world views alternative investments. With competitive total rewards, performance-based bonuses, and a clear path for career growth, you’ll have everything you need to develop both now and over the longer term.

The Opportunity

We are looking for a Vice President, Data Engineering to define and lead PICTON's data strategy across investment data, analytics, and AI, and to show what an AI-native data organization looks like in practice.

This is a strategic, hands-on leadership role. You will be accountable for data across all PICTON's businesses. You'll own the architecture, governance, and engineering capabilities that turn complex financial data into reliable, accessible and actionable products for people and for AI agents. We want someone who embraces AI in their processes and who can bring that way of working across an entire team.

You will work closely with Engineering, Investment, Product, and AI teams to build a modern data foundation that enables faster innovation and better decision-making.

What You'll Own

Data Strategy & AI-Ready Architecture

Serve as the single accountable owner for data across PICTON's businesses, setting direction, resolving competing priorities, and ensuring every business can rely on consistent, trusted data.
Define and execute PICTON's enterprise data strategy, architecture, and roadmap across Databricks, Snowflake, APIs, applications, analytics, and AI.
Own the technical build that enables PICTON's AI roadmap, working with AI and business leaders to sequence data capabilities so planned AI initiatives have the data, access, and governance they need to ship.
Design the platform so AI is a first-class consumer of data (e.g., well-governed semantic layers, rich metadata, and secure interfaces such as APIs and MCP servers that agents and LLM applications can reliably use).
Make pragmatic architecture decisions that balance performance, security, cost, and business needs, including the cost and governance of AI workloads.
Build a modern data platform supporting portfolio construction, performance, risk, analytics, and AI use cases.

AI-Accelerated Data Engineering & Governance

Lead the design of reliable, scalable pipelines for market, security, portfolio, and historical data, using AI coding assistants and agentic tools to shorten build and iteration cycles.
Apply AI to the data lifecycle itself, including automated data quality checks, anomaly detection, lineage and documentation generation, metadata enrichment, and reconciliation.
Establish practical standards for data quality, lineage, governance, security, and ownership, including guardrails for how AI tools and agents access sensitive financial data.
Evolve financial data models and semantic layers so data is consistent and reusable across products, teams, and AI systems.

Leadership, Mentorship & Culture

Build and lead a high-performing Data Engineering and Data Platform team.
Partner with Engineering, Investment, Product, and AI leaders to translate business needs into effective data solutions.
Identify opportunities to leverage modern data and AI technologies to create competitive advantage.
Communicate complex technical concepts effectively to both technical and business stakeholders.

What We're Looking For

10+ years of experience in data engineering, data platforms, architecture, or technology leadership, including significant team leadership experience.
Experience owning data across multiple business lines or functions, including balancing their competing needs and driving shared standards.
Experience building agentic AI solutions: designing agents and workflows that use tools, retrieve from enterprise data, and operate within clear security and governance boundaries, along with practical approaches to evaluating their accuracy and reliability.
Strong experience with modern cloud data platforms, particularly Databricks, Snowflake, SQL, APIs, and distributed data pipelines.
Deep understanding of financial and investment data, including securities, portfolios, market data, performance, risk, and time-series data.
Experience building data platforms that support analytics, applications, and AI/LLM workloads, including retrieval, semantic layers, and structured data access for models.
Strong understanding of data governance, quality, lineage, security, and ownership, and how these extend to AI systems.
Ability to move between strategic thinking and technical detail, making pragmatic architecture decisions.
Strong business acumen and exceptional communication and stakeholder-management skills.
Hands-on, current use of AI in your own workflow. You regularly use tools such as Claude Code, Cursor, GitHub Copilot, or similar to build, debug, document, and analyze, and you can give concrete examples of where it changed your speed or output.
Experience with LLM evaluation, observability, or AI cost management in production and familiarity with Model Context Protocol (MCP) or similar standards for connecting AI to enterprise systems.
A track record of mentoring engineers and shaping team culture. You can point to people you've developed and to teams that took on more ownership and improved how they work under your leadership.

Our Commitment to Employees

At PICTON Investments, we take pride in enhancing our employees' experiences through a comprehensive suite of exceptional perks and programs. Our benefits include corporate fitness reimbursement and discounts, VersaFi memberships (formerly Women in Capital Markets), Picton investment counseling and portfolio management services, volunteer and charitable donation matching, maternity and parental leave top-up, recognition awards, semi-annual performance bonuses, a generous annual vacation entitlement (minimum of 15 days per year), training and development reimbursement, extensive health and dental benefits, a healthcare spending account, and more.

These offerings are designed to support your career growth, well-being, and overall success. Join us and thrive in an environment that values and invests in you!

PICTON Investments is committed to providing an equitable and fair work environment for everyone and all hiring and other personnel actions will be taken without regard to race, colour, creed, religion, sex, disability, gender identity, gender expression, family status, age, language or national origin. If you require an accommodation at any point in time throughout the application and hiring process, please contact Human Resources at (416) 955-4108 or at accessibility@pictoninvestments.com.

PICTON Investments does not accept unsolicited resumes, emails, calls, or any other form of communication from third-party recruitment agencies. Any unsolicited outreach, including commercial electronic messages, will neither be acknowledged nor considered.

Please note: We use AI-assisted tools to support parts of our recruitment process, including summarizing interview notes and aligning candidate profiles with job requirements. All decisions are made by our hiring team.

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More about this job

Responsibilities

Lead PICTON's enterprise data strategy, architecture, and roadmap, building a secure, governed data platform that supports investment, analytics, applications, and AI. Build and mentor the Data Engineering and Data Platform teams, establish data quality and governance practices, and partner with business and technical leaders to deliver reliable data products and AI capabilities.

Requirements

Requires 10+ years of experience in data engineering, data platforms, architecture, or technology leadership, including significant team leadership and experience managing data needs across multiple business lines. Candidates should bring strong modern cloud data platform and financial data expertise, hands-on use of AI tools, experience with agentic AI and AI governance, and excellent communication and stakeholder-management skills.

Skills

Data Engineering
Data Strategy
Data Architecture
Databricks
Snowflake
SQL
APIs
Distributed Data Pipelines
Agentic AI
Data Governance
Data Quality
Financial And Investment Data
Semantic Layers
LLM Evaluation
Team Leadership
Stakeholder Management

Benefits

Corporate Fitness Reimbursement And Discounts
VersaFi Memberships
Investment Counseling And Portfolio Management Services
Volunteer And Charitable Donation Matching
Maternity And Parental Leave Top-Up
Recognition Awards
Semi-Annual Performance Bonuses
Annual Vacation
Training And Development Reimbursement
Health And Dental Benefits
Healthcare Spending Account

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Data Platform
Enterprise Data Strategy
Data Architecture
Databricks
Snowflake
SQL
APIs
Distributed Data Pipelines
Agentic AI
AI Coding Assistants
Claude Code
Cursor
GitHub Copilot
Model Context Protocol
LLM Evaluation
AI Observability
AI Cost Management
Data Governance
Data Quality
Data Lineage
Metadata Enrichment
Semantic Layers
Financial Data
Investment Data
Market Data
Portfolio Construction
Performance And Risk Analytics
Time-Series Data
Data Security

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