Senior Data Architect – Multi-Cloud

3 days ago

Toronto ON MA N, Canada Recutify Inc. Full time $150,000 - $250,000 per year

Senior Data Architect Multi-Cloud (GCP, AWS, Azure)

Location : Toronto, Canada

Hybrid

Fulltime

JD:

Role Overview

We are seeking a visionary and hands-on Senior Data Architect with 10+ years of experience to lead the design and implementation of scalable, secure, and high-performance data architectures across GCP, AWS, and Azure. This role is central to our cloud-first strategy, enabling advanced analytics, AI/ML, and real-time data capabilities across the enterprise.

Key Responsibilities:

  • Define and implement enterprise-wide data architecture strategies across multiple cloud platforms
  • Design data lakehouse, data mesh, and real-time streaming architectures using GCP, AWS, and Azure services
  • Lead the development of conceptual, logical, and physical data models to support analytics, operational systems, and AI/ML workloads
  • Collaborate with engineering, analytics, and business teams to align data architecture with strategic goals
  • Establish data governance, metadata management, and data quality frameworks
  • Architect ETL/ELT pipelines, data ingestion frameworks, and semantic layers for BI and ML
  • Optimize data storage, compute, and query performance across cloud environments
  • Ensure compliance with security, privacy, and regulatory standards (e.g., GDPR, HIPAA, SOC 2)
  • Evaluate and integrate emerging technologies to future-proof the data ecosystem
  • Mentor data engineers, modelers, and junior architects

Required Skills & Qualifications:

  • 10+ years of experience in data architecture, with proven success in large-scale, cloud-native environments
  • Deep expertise in GCP (BigQuery, Dataflow, Dataplex, Pub/Sub), plus working knowledge of AWS (Redshift, Glue, S3) and Azure (Synapse, Data Factory, ADLS)
  • Strong understanding of data modeling, data warehousing, streaming, and NoSQL systems
  • Proficiency in SQL, Python, and infrastructure-as-code tools (e.g., Terraform, CloudFormation)
  • Experience with metadata catalogs, data lineage tools, and governance platforms
  • Familiarity with BI tools (Looker, Power BI, Tableau) and ML platforms (Vertex AI, SageMaker, Azure ML)
  • Bachelor's or Master's degree in Computer Science, Engineering, or related field

Preferred Qualifications

  • Certifications: GCP Professional Data Engineer, AWS Certified Solutions Architect, or Azure Data Engineer Associate
  • Experience in regulated industries such as finance, healthcare, or government
  • Exposure to data mesh principles, event-driven architectures, and real-time analytics
  • Strong leadership and stakeholder management skills

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