Senior Data Architect

1 day ago

Toronto, Canada TechDoQuest Full time

Min 10 years of experience needed

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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