The Data Platform Architect is responsible for defining and governing the enterprise data platform architecture that supports analytics, reporting, and AI/ML initiatives. The role ensures data platforms are scalable, secure, reliable, and cost-productive while aligning with business and technology strategies. Working closely with Product Management, Data Engineering, Cloud, Security, and Analytics teams, the architect provides technical leadership, establishes standards and reference architectures, and drives the evolution of enterprise data capabilities.
Key ResponsibilitiesJob descriptionJob Summary
The Data Platform Architect is responsible for defining and governing the enterprise data platform architecture that supports analytics, reporting, and AI/ML initiatives. The role ensures data platforms are scalable, secure, reliable, and cost-efficient while aligning with business and technology strategies. Working closely with Product Management, Data Engineering, Cloud, Security, and Analytics teams, the architect provides technical leadership, establishes standards and reference architectures, and drives the evolution of enterprise data capabilities.
Key Responsibilities
Define and maintain enterprise data platform strategy, architecture standards, and design patterns.
Develop target-state architectures, technical documentation, and architectural roadmaps.
Evaluate and govern data platform, integration, and ETL/ELT technology selections.
Provide architectural guidance for data pipelines, analytics platforms, and integration solutions.
Establish standards for scalability, reliability, observability, security, and disaster recovery.
Ensure compliance with data privacy, governance,



and regulatory requirements.
Standardize data integration approaches, including batch, streaming, and event-driven architectures.
Partner with engineering teams to translate architectural standards into implementable solutions.
Drive cost-efficient platform design and support FinOps initiatives.
Assess emerging technologies and recommend architectural improvements, including AI-enabled data engineering capabilities.
Skill RequirementsData Platforms & Databases
Snowflake
Azure Data Lake (ADLS)
Microsoft Fabric
Databricks
SQL Server
PostgreSQL
Oracle
Data Engineering
ETL/ELT architecture and orchestration (Matillion)
Data modeling and governance
Batch, streaming, and event-driven integrations
Data lineage, observability, and reliability engineering
Cloud & Automation
Azure and Google Cloud
CI/CD for data platforms
Infrastructure as Code (IaC)
Platform automation and operational readiness
Programming & Analytics
SQL
Python
Analytics-ready dataset design
AI/ML data platform enablement
Integration & Enterprise Systems
API integrations (Apigee)
Salesforce
FACETS
ServiceNow
Soft Skills
Technical leadership
Architecture governance
Stakeholder communication and presentation
Problem-solving and strategic planning
Agile and Waterfall delivery methodologies
Other Requirements
Bachelor's degree in Computer Science, Information Technology, Data Science, or related field.
7+ years of database engineering experience, including 3+ years in architecture design.
Master's degree and healthcare domain experience preferred.
Experience with enterprise integrations, APIs, and modern cloud-based data ecosystems.
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📌 Senior Technical Architect (Winnipeg)
🏢 HCLTech
📍 Winnipeg