Senior Technical Architect

HCL Technologies Limited; East Gwillimbury; On-site; CAD 120,000 - 180,000; Full time

Job summary

HCLTech is seeking a Data Platform Architect to define and govern the enterprise data platform architecture that supports analytics, reporting, and AI/ML initiatives. You will ensure scalable, secure, reliable, and cost-efficient data platforms aligned with business strategies.

Collaborating with Product Management, Data Engineering, Cloud, Security, and Analytics teams, you will drive standards, reference architectures, and evolution of enterprise data capabilities.

Qualifications

• Bachelor's degree in CS/IT/Data Science or related field.
• 7+ years of database engineering, including 3+ years in architecture design.
• Healthcare domain experience preferred.
• Experience with enterprise integrations, APIs, and modern cloud-based data ecosystems.

Responsibilities

• Define and maintain enterprise data platform strategy, architecture standards, and design patterns.
• Develop target-state architectures, roadmaps, and technical documentation.
• Govern data platform selections and governance across data pipelines and integration solutions.
• Provide architectural guidance for data pipelines, analytics platforms, and integration solutions.
• Establish standards for scalability, reliability, observability, security, and disaster recovery.

Skills

Data modeling

Data governance

Batch, streaming, event-driven

Observability

Cloud platforms

Python

SQL

API integrations

Agile and Waterfall

Technical leadership

Education

Bachelor's degree in CS/IT/Data Science

Master's degree (preferred)

Tools

Snowflake

Microsoft Fabric

Databricks

SQL Server

Oracle

Matillion

Azure

Google Cloud

CI/CD for data platforms

IaC (Infrastructure as Code)

Apigee

FACETS

ServiceNow

Job description

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 Requirements

Data Platforms & Databases

• Snowflake
• Microsoft Fabric
• Databricks
• SQL Server
• Oracle
• ETL/ELT architecture and orchestration (Matillion)
• Data modeling and governance
• Batch, streaming, and event-driven integrations
• Data lineage, observability, and reliability engineering
• Azure and Google Cloud
• CI/CD for data platforms
• Infrastructure as Code (IaC)
• Platform automation and operational readiness

Programming & Analytics

• SQL
• Python
• API integrations (Apigee)
• FACETS
• ServiceNow

Soft Skills

• Technical leadership
• 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.

At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.

HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending June 2026totaled $14.8billion.