Director, Public & Alternative Investments, Data Platforms at CPP Investments | Investissements RPC | CA | Rezi

Director, Public & Alternative Investments, Data Platforms at CPP Investments | Investissements RPC

Director, Public & Alternative Investments, Data Platforms

CPP Investments | Investissements RPC · CA

3 weeks ago

Director, Public & Alternative Investments, Data Platforms

CPP Investments | Investissements RPC · CA

24 days ago
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About the Role

As Director, Data Engineering for the Public Markets and Alternate Assets (PMAA) team, you will build and publish enterprise market data products that power investment strategies. You will lead a team of data engineers and analysts, owning the end-to-end lifecycle of PMAA data and setting the technical direction for a modern AWS data platform. Your focus will be on establishing semantic and knowledge graph foundations and ensuring data products meet high standards for timeliness, quality, and compliance.

Responsibilities

  • Define and execute the multi-year data engineering strategy and roadmap for PMAA market data products.
  • Own the target-state AWS data platform architecture across ingestion, storage, processing, orchestration, governance and consumption.
  • Lead the development and adoption of enterprise data products across public and private markets.
  • Establish semantic data capabilities, including RDF knowledge graphs on Amazon Neptune.
  • Ensure reliable, timely and secure data delivery through observability, automated quality controls, and incident management.
  • Lead agile roadmap delivery and engineering excellence, embedding CI/CD, infrastructure as code, and automated testing.
  • Build, coach and develop an inclusive, high-performing engineering team.

Requirements

  • Undergraduate degree or college diploma in Computer Science, Engineering, Mathematics or a related field; a graduate degree is an asset.
  • 10+ years of progressive experience in data engineering, data platforms or software engineering.
  • 5+ years leading engineering teams.
  • Demonstrated success delivering enterprise-scale, cloud-native data platforms.
  • Experience leading complex agile programs.
  • Strong understanding of capital markets, investment management and market and reference data.
  • Experience with major data vendors, licensing, entitlements and usage controls.
  • Private markets experience is an asset.
  • Advanced AWS architecture expertise equivalent to Solutions Architect – Professional.
  • Hands-on technical depth in Apache Spark (PySpark or Scala), AWS Glue or EMR, Airflow/MWAA, AWS DMS and Amazon RDS/Aurora.
  • Expertise in enterprise data product design, AWS Lake Formation governance, data contracts, service levels and consumption patterns.
  • Expertise in RDF, SPARQL, ontology design, Amazon Neptune, MCP servers, agent skills and AI-assisted analytics using Amazon Quick.
  • Ability to guide engineering teams across cloud-native development, data quality, observability and delivery practices.
  • Experience with lakehouse technologies, Python, SQL, CI/CD, infrastructure as code, data cataloguing, financial ontologies, Amazon Bedrock or GraphRAG is an asset.
  • Relevant AWS certifications are also assets.
  • Inclusive people leadership, sound judgment and strong communication and relationship-building skills.
  • Ability to explain technical concepts to investment professionals and executives.
  • Ability to influence stakeholders and manage strategic vendor partnerships.

Skills

  • Data Engineering
  • Data Platforms
  • Software Engineering
  • AWS
  • Apache Spark
  • PySpark
  • Scala
  • AWS Glue
  • EMR
  • Airflow
  • MWAA
  • AWS DMS
  • Amazon RDS
  • Aurora
  • Enterprise Data Product Design
  • AWS Lake Formation
  • Data Contracts
  • Service Levels
  • RDF
  • SPARQL
  • Ontology Design
  • Amazon Neptune
  • MCP Servers
  • Agent Skills
  • AI-assisted Analytics
  • Amazon Quick
  • Cloud-native Development
  • Data Quality
  • Observability
  • Delivery Practices
  • Lakehouse Technologies
  • Python
  • SQL
  • CI/CD
  • Infrastructure as Code
  • Data Cataloguing
  • Financial Ontologies
  • Amazon Bedrock
  • GraphRAG
  • AWS Certifications

Location

  • Onsite

Work Type

  • Onsite

Experience Level

  • 10+ years of progressive experience in data engineering, data platforms or software engineering
  • 5+ years leading engineering teams

Education Level

  • Undergraduate degree or college diploma in Computer Science, Engineering, Mathematics or a related field
  • Graduate degree is an asset

Benefits

  • Cutting-edge AI tools
  • Dedicated learning time
  • Practical support to help them deliver with greater impact

About the Company

  • CPP Investments is one of the world’s most admired and respected institutional investors.
  • We have a long-term horizon and global reach, deploying capital at scale across public and private markets.
  • Our size, stability, and disciplined investment philosophy allow us to pursue complex opportunities and build enduring partnerships worldwide.
  • CPP Investments invests across public and private markets, supported by technology and data capabilities that enable informed investment decisions and long-term value creation.

Equal Opportunity

  • CPP Investments is committed to equitable access to employment and building a workforce that reflects diverse talent and perspectives.
  • If you require accommodation at any stage of the recruitment process, please let us know and we will work with you to meet your needs.
  • CPP Investments may use AI tools to help screen and assess applicants by analyzing resumes and applications for relevant skills and experience.
  • These tools support, but do not replace, human decision-making.