Note: The job is a remote job and is open to candidates in USA. Questrade Financial Group (QFG) is a leading financial services company that combines human-centric collaboration with AI-driven innovation. The Director of Data Platform will provide strategic leadership in scaling Data & AI infrastructure across the enterprise, ensuring data democratization and operational excellence while leading a high-performing team to deliver innovative analytics solutions.
Responsibilities
- Define and build the technical products necessary for secure, enterprise-wide data access, specifically focusing on Data Consumer and Producer interfaces
- Direct the roadmap for the Self-Serve Data Platform, balancing technical debt with the need for faster time-to-value and superior user experience
- Drive the transition to a Data Mesh architecture that unifies structured and unstructured data across GCP, Databricks, and next-gen AI and Data platforms
- Operationalize FinOps and cloud consumption governance to maximize ROI and minimize non-value-add compute costs
- Close the gap from data to decisions by building ready-to-deploy Analytics and Agentic AI solutions
- Lead the adoption of Generative AI tools within engineering workflows to automate code generation, documentation, and testing
- Nurture a consultative team culture through "Forward-deployed Data Engineering," embedding experts into business units to solve data-driven challenges
- Implement AI/ML-based tools for proactive data quality monitoring and self-correcting anomaly detection
- Ensure data security and compliance are "built-in" features of the platform, meeting rigorous financial regulatory standards
- Maintain the Enterprise Data Catalogs and metadata management systems to foster data discovery across all business lines
- Establish architectural solutions that enable rapid but secure deployment, leveraging policy as code, IAC Factory patterns
- Manage and mentor a high-performing team of engineers and product owners, aligning individual growth with strategic organizational goals
- Lead the shift in engineering roles from manual coding to prompt engineering, architectural design, and data product ownership
- Forecast resourcing needs and develop alternative hiring plans to address technical talent gaps
- Partner with the Managing Director to define resources, organizational structures, and cultural changes needed to support the technology strategy
- Collaborate with Platform & Architecture and Cybersecurity to ensure all platform guardrails meet corporate compliance requirements
- Serve as an evangelist for data-driven culture, sharing knowledge through internal workshops and enabling self-service support for the organization
Skills
- Proven ability in scaling Data Platforms on Hyperscalers (GCP preferred, Azure, or AWS)
- Deep experience with Spark, Databricks, and Data Lakehouse architectures
- Knowledge of MLOps principles and the infrastructure required to operationalize autonomous data agents
- Proficiency in SQL, Python, or PySpark, and familiarity with visualization tools like PowerBI, Sigma, Looker, etc
- Proficiency in building modern deployment architectures, CI/CD, Infrastructure as Code, and Software Supply Chains
- Extensive background in Financial Services or similarly regulated industries
- Demonstrated experience in Product Management for technical platforms or client-focused service delivery
- Proven track record of leading large-scale technical migrations (e.g., legacy warehouses to Cloud)
- Education: Bachelors, Masters, or PhD in Mathematics, Statistics, Computer Science, or a related field is preferred
Benefits
- Health & wellbeing resources and programs.
- Paid vacation, personal, and sick days for work-life balance.
- Competitive compensation and benefits packages.
- Work-life balance in a hybrid environment with at least 3 days in office.
- Career growth and development opportunities.
- Community contribution opportunities to support various causes.
- Inclusive environment working with diverse team members in a collaborative setting.
Company Overview