This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Principal Architect & Data Engineer based in Canada. This is a senior technical leadership opportunity at the intersection of data architecture, AI enablement, and enterprise-scale platform engineering. You will be responsible for shaping the next generation of a federated enterprise data ecosystem, unifying fragmented data landscapes into a modern, high-performance Lakehouse architecture. The role combines deep hands-on engineering with strategic architecture ownership, requiring you to define standards for data modeling, governance, observability, and secure AI consumption. You will act as a key technical authority, influencing decisions across distributed teams while ensuring alignment with enterprise-wide data strategy. A strong focus is placed on enabling autonomous business units through data mesh principles, while maintaining a governed and trusted single source of truth. You will also contribute to the evolution of agentic AI frameworks and enterprise data intelligence capabilities. This is a highly visible role involving direct engagement with senior leadership to translate technical architecture into measurable business outcomes. The environment is complex, fast-evolving, and ideal for a senior architect who thrives at scale and enjoys solving foundational data challenges. \n

Accountabilities: Design and lead the evolution of a unified enterprise data platform, including Lakehouse architecture (Iceberg/Delta Lake) and federated data mesh models. Define and implement standards for data governance, observability, quality, lineage, and metadata management across structured and unstructured data. Develop and scale agentic AI frameworks and enterprise AI registries to support model-agnostic and production-ready AI systems. Establish best practices for high-performance data engineering, including zero-copy architectures, federated query engines, and semantic layers. Lead architectural direction across distributed engineering teams, ensuring alignment with enterprise data strategy and governance standards. Mentor and coach data architects and engineers, fostering technical excellence, automation, and continuous improvement. Collaborate with business stakeholders to align data products and AI initiatives with KPIs such as revenue growth and operational efficiency. Present architectural roadmaps, risk assessments, and ROI-driven insights to senior leadership and executive stakeholders. Define secure data access patterns, including encryption, RBAC/ABAC, masking, and policy-as-code for AI and analytics consumption. Optimize cloud data platforms for cost efficiency, scalability, and performance across large-scale environments. Requirements: 10+ years of experience in data engineering, data architecture, or enterprise data platforms. 1+ years in a Staff or Principal-level technical leadership role. Strong expertise in Python, SQL, and Spark for large-scale data processing and engineering. Hands-on experience with orchestration tools (e.g., Airflow), CI/CD pipelines, and Infrastructure as Code (Terraform or CloudFormation). Deep experience with AWS (S3, Glue, Redshift, Bedrock) or Google Cloud (BigQuery, Vertex AI). Strong knowledge of federated data systems, data mesh principles, and modern data sharing patterns. Experience building enterprise data governance frameworks, including metadata standards, classification, and PII handling. Expertise in data security practices, including access control, encryption, masking, and compliance-driven architectures. Proven experience with RAG architectures, vector databases, and enterprise AI/ML integration patterns. Strong executive communication skills with the ability to translate complex technical topics into business impact. Demonstrated leadership in mentoring and developing senior engineering talent. Strong understanding of cloud economics, cost optimization, and data platform financial governance. Experience working across large, distributed organizations with multiple stakeholders and priorities. Benefits: Competitive base salary aligned with senior principal engineering roles in Canada (approx. CAD $160,000–$170,000). Equity/stock options as part of total compensation package. Comprehensive health, dental, and wellness benefits. Flexible remote-first work model within Canada. Opportunity to define enterprise-scale data and AI architecture strategy. High-impact leadership role with direct influence on product and business outcomes. Exposure to cutting-edge AI, data mesh, and cloud-native technologies. Strong professional development and leadership growth opportunities in a global engineering environment.

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