Data Architect
$110k - $125k per yearGalent
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.
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
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
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
Seniority level
Associate
Employment type
Full-time
Job function
Business Development
Industries
Technology, Information and Internet
Location: Etobicoke, Ontario, Canada
Salary: CA$110,000.00-CA$125,000.00
#J-18808-Ljbffr
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
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
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
Seniority level
Associate
Employment type
Full-time
Job function
Business Development
Industries
Technology, Information and Internet
Location: Etobicoke, Ontario, Canada
Salary: CA$110,000.00-CA$125,000.00
#J-18808-Ljbffr
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