Job Specifications
We have an immediate opening for a Senior Data Architect with a leading IT Service Consulting company in Toronto, Ontario, Canada .
Senior Data Architect
Location : Toronto, Canada
Position : Fulltime
JD:
Senior Data Architect – GCP
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
About the Company
Galent is an AI-native digital engineering firm at the forefront of the AI revolution, dedicated to delivering unified, enterprise-ready AI solutions that transform businesses and industries. Our mission is to empower organizations to thrive in an ever-evolving digital landscape through cutting-edge AI-native services, consulting, and digital engineering.
As enterprises face the complexities of integrating advanced technologies, Galent provides scalable, AI-enabled solutions that optimize processes, enhance productivity, an...
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