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 Job description Job 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-effective platform design and support FinOps initiatives.

Assess emerging technologies and recommend architectural improvements, including AI-enabled data engineering capabilities.

Skill Requirements Data 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