Senior Data Architect

CyberSolve IT Inc.; Vaughan; Hybrid; CAD 90,000 - 120,000; Full time

Job summary

A leading IT services firm in York Region seeks a Senior Data Architect to lead the development of next-generation data platforms. Ideal candidates will have 8+ years in data architecture and deep expertise in GCP and Lakehouse architectures. This is a contract-to-hire role emphasizing strategic data initiatives in a healthcare context while fostering collaboration across teams.

Qualifications

• 8+ years of experience in data architecture, engineering, and data management.
• 5+ years of GCP experience, including BigQuery, Cloud Storage, and Pub/Sub.
• Proven experience designing Lakehouse architectures using Delta Lake, Iceberg, or Hudi.

Responsibilities

• Design and implement scalable data architecture solutions using GCP technologies.
• Define data architecture best practices and enforce governance.
• Collaborate with stakeholders for practical data solutions.

Skills

Data architecture

Google Cloud Platform (GCP)

Lakehouse architectures

Data engineering

Python

SQL

MLOps

Problem-solving

Tools

BigQuery

Apache Spark

Airflow

Looker

Power BI

Tableau

Job description

1 day ago Be among the first 25 applicants

Direct message the job poster from CyberSolve IT Inc.

Co-Founder | President, CyberSolve IT Inc.

Position Title : Senior Data Architect (GCP – Lakehouse, AI / ML)

Employment Type : Contract to hire (Client Looking to hire only Visa Independent Candidates GC, Citizen etc)

Start Date : Immediate

About the Role

We are seeking an experienced and highly skilled Data Architect to join our dynamic team and lead the development of next-generation cloud-based data platforms. This role is ideal for a strategic, hands-on technical leader with deep expertise in Google Cloud Platform (GCP), Lakehouse architectures, and data engineering. You will help shape the future of data strategy in a leading healthcare organization focused on data-driven decision-making, operational efficiency, and better patient outcomes.

Key Responsibilities

Architecture & Technical Leadership

• Design and implement scalable, high-performance, cost-effective data architecture solutions using GCP technologies: BigQuery, Dataflow, Dataproc, Cloud Spanner, Pub/Sub, GCS, Vertex AI.
• Architect and manage data lakes/warehouses, with strong emphasis on Lakehouse principles and technologies: Delta Lake, Apache Iceberg, Hudi.
• Lead the development of data ingestion, transformation (ETL / ELT) pipelines across structured and unstructured data sources.

Governance, Standards, and Strategy

• Define and enforce data architecture best practices, including data governance, security, retention, and compliance.
• Develop documentation and artifacts to illustrate the data lifecycle, from ingestion through consumption.
• Provide thought leadership and contribute to enterprise-wide data strategy initiatives.
• Guide and mentor data engineers and junior architects.

Collaboration & Stakeholder Engagement

• Work with business stakeholders to translate strategic goals into practical data solutions.
• Collaborate cross-functionally with software engineers, DevOps, product teams, and analysts to ensure data systems meet end-user needs.
• Maintain strong communication with data governance, compliance, and security teams.

Required Skills & Experience

• 8+ years of experience in data architecture, engineering, and data management.
• 5+ years of GCP experience, including BigQuery, Cloud Storage, Pub/Sub, Dataflow, Dataproc, Cloud Composer.
• Proven experience designing Lakehouse architectures using Delta Lake, Iceberg, or Hudi.
• Strong knowledge of schema evolution, data partitioning, indexing, ACID compliance, and distributed file systems.
• Proficient in Python, SQL, and familiarity with Apache Spark, Airflow, and CI/CD pipelines.
• Deep understanding of MLOps, real-time data processing, and integrating AI/ML into data workflows.
• Strong analytical and problem-solving skills with a business mindset.
• Familiar with BI/AI tools and their integration with modern data platforms (e.g., Looker, Power BI, Tableau, Vertex AI).
• Hands-on experience with data modeling, metadata management, and data quality frameworks.
• Experience in Agile/Scrum environments.

Preferred Qualifications

• Experience in healthcare or regulated data environments.
• Exposure to FHIR, HL7, or other healthcare data standards.
• Experience with Apache Beam, Kafka, or other streaming platforms.
• Familiarity with React, Dash, or front-end tools for visualizing data pipelines (a plus).

Core Competencies

• Excellent communication and interpersonal skills.
• Strategic thinking and technology foresight.
• Strong project management and multitasking capabilities.
• Ability to work independently and drive outcomes across teams.

Seniority level: Mid-Senior level

Employment type: Contract

Job function: Consulting

Industries: IT Services and IT Consulting

Note: The job posting appears active; no indication of expiration was found.