5 months ago
Toronto, CanadaSenior
Responsibilities
- Develop and maintain data- and AI-focused technology strategies and architectural portfolios.
- Mentor engineers and technical leaders through reusable patterns, architectural guidance, workshops, and complex implementation support.
- Lead architecture decisions through Architecture Decision Records, standards, design reviews, code reviews, and performance analysis.
- Define governed end-to-end data flows covering ingestion, transformation, storage, serving, retirement, data contracts, curated datasets, and domain marts.
- Set platform standards for orchestration and reliability, including SLAs, retries, idempotency, backfills, runbooks, and operational dashboards.
- Establish enterprise data quality practices covering critical data elements, validation, monitoring, and issue triage.
- Embed metadata, lineage, classification, ownership, privacy safeguards, auditability, and model lifecycle controls into platform architecture.
- Define AIOps standards for traceability, quality measurement, incident response readiness, and cost guardrails.
- Collaborate with stakeholders and product management to prioritize and mitigate technical risks while maintaining regulatory, security, and compliance alignment.
Requirements
- Bachelor's or master's degree in Computer Science, Software Engineering, or a related field.
- At least seven years of experience in software development, architecture, and implementation of large-scale enterprise systems.
- At least four years focused on data engineering, data management, or data platform architecture and AI solution design, including AIOps practices.
- Experience building or evolving enterprise data platforms and driving standards adoption across multiple teams.
- Expertise in system architecture, cloud computing, distributed systems, integration technologies, security, performance optimization, scalability, and reliability.
- Experience with AWS Glue, Step Functions, Airflow, dbt, Spark, Snowflake, Python, SQL, and Jupyter Notebooks.
- Experience with agentic frameworks such as LangChain, LlamaIndex, or LangGraph and AIOps tooling such as LangFuse.
- Preferred experience in regulated environments involving SOC2, ISO 27001, or GDPR.
- Preferred familiarity with federated domain ownership, data products, platform observability, medallion architecture, streaming systems, metadata, and governance tools.
Benefits
- Flexible hybrid work approach with no set in-office requirement for employees near an office.
- Opportunities for innovative work, professional growth, and purpose-driven technology work.
- Employee resource groups and a stated commitment to diversity, equity, inclusion, and belonging.
- Hiring accommodations are available for candidates with disabilities.