Job description

Job Summary

We are seeking a seasoned and visionary Data Architect in Canada with deep expertise in architecting and optimizing data platforms using AWS, Databricks, and BI tools like Tableau. The ideal candidate should have significant experience building scalable data lakes, data warehouses, and analytical pipelines, and should bring proven certifications such as AWS Certified Data Analytics – Specialty, Databricks Certified Data Engineer Associate, and Microsoft Azure Fundamentals.

This role is pivotal in shaping our enterprise data strategy, leading data governance efforts, and ensuring performant and secure data systems across global client engagements.

Key Responsibilities

Data Architecture & Strategy

• Define and lead the enterprise-wide data architecture strategy.
• Architect scalable data pipelines and warehousing solutions using AWS, Databricks, and Snowflake.
• Design and implement data models (dimensional, normalized, data vault) and data integration frameworks.
• Establish data standards, guidelines, and best practices for modeling, security, and governance.

Platform & Solution Design

• Architect cloud-native data systems leveraging AWS services such as Glue, Redshift, S3, Lambda, and EMR.
• Lead Databricks-based implementations for data engineering and ML model development.
• Design and integrate BI platforms like Tableau for enterprise analytics and dashboards.

Collaboration & Stakeholder Engagement

• Partner with cross-functional teams including business analysts, data scientists, and application teams.
• Translate business requirements into scalable technical designs.
• Drive architectural reviews, proof-of-concepts, and technology evaluations.

Data Governance, Security & Quality

• Implement data lineage, cataloging, and metadata strategies using tools like AWS Glue Catalog and Apache Atlas.
• Enforce data privacy, compliance, and security policies (GDPR, HIPAA).
• Define standards for CI/CD, Infrastructure-as-Code, and DevOps in data architecture.

Qualifications & Skills

• Bachelor’s degree in Technology.
• 12+ years of hands-on experience in data architecture, data engineering, and analytics platforms.
• Proficient with:
  • AWS Data Analytics stack (Glue, Redshift, S3, Athena, Lake Formation)
  • Databricks (Spark, Delta Lake, SQL Analytics)
  • Tableau for reporting and dashboarding
  • Advanced programming skills in Python, PySpark, and SQL.
  • Strong knowledge of data modeling, warehousing concepts, and cloud-native architecture patterns.

Certifications

• AWS Certified - Data Analytics – Specialty
• Databricks Certified
• Microsoft Certified: Azure Fundamentals