Toronto, Ontario M5V 3L9 Posted August 27th, 2026

Job Type: Full Time

Job Category: IT

Job Description

Job Title: Lead Data Solution Engineer
Location: Toronto, Ontario (ON)
Work Arrangement: Onsite – 4 Days
Job Type: Full Time

Job Summary

We are seeking an experienced Lead Data Solution Engineer to architect and deliver enterprise-scale data solutions supporting HR processes. The role combines hands-on data engineering, architecture, modeling, technical leadership, and strategic collaboration to build secure, scalable, and governed HR data platforms.

Key Responsibilities

- Design and develop enterprise data models, processes, and systems aligned with business requirements
- Provide hands-on technical leadership for complex data engineering initiatives
- Lead end-to-end design and implementation of HR data solutions
- Develop scalable solutions across hybrid cloud environments including Azure, AWS, and On-Premises
- Define and govern enterprise data architecture standards and relational database designs
- Manage metadata and data architecture for HR domains
- Build and optimize ETL/ELT workflows using OpenShift, Snowflake, dbt, Airflow, and Spark
- Integrate HR data across Core HR, Payroll, Talent Management, and related systems
- Drive DevOps and CI/CD practices for automated deployments and high availability
- Collaborate with HR stakeholders and Product Managers to translate business requirements into technical solutions
- Ensure compliance with data governance, privacy, risk,



and regulatory requirements
- Mentor engineers and lead cross-functional teams
- Apply AI, Large Language Models (LLMs), and advanced analytics to enhance HR data capabilities
- Drive innovation and continuous improvement across enterprise data platforms

Required Qualifications

- Robust experience in data engineering, data architecture, and data modeling
- Proven experience designing enterprise-scale data solutions
- Strong hands-on experience with ETL/ELT and data integration
- Experience with Snowflake, dbt, Airflow, Spark, and OpenShift
- Strong knowledge of Azure, AWS, and On-Premises environments
- Experience with relational databases and enterprise data models
- Strong understanding of data governance, metadata management, privacy, and compliance
- Experience with DevOps and CI/CD practices
- Strong leadership, mentoring, and stakeholder management skills
- Experience working with HR data domains is highly preferred
- Knowledge of AI/LLM and advanced analytics

Key Skills

Data Engineering, Data Architecture, Data Modeling, HR Data, Snowflake, dbt, Airflow, Spark, OpenShift, Azure, AWS, ETL, ELT, SQL, Data Governance, Metadata Management, DevOps, CI/CD, AI, LLM, Advanced Analytics

Job Type: Full Time

Required Skills

Cyber Vulnerability Management Analyst Full Stack Developer ReactJS Lead Developer Senior Email Security Engineer SQL Application Developer Sr. Golang Developer with Kubernetes

📌 Lead Data Solution Engineer-2 (Canada)
🏢 Realign
📍 Canada