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 Strong 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
Robust 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

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📌 Lead Data Solution Engineer-6 (Ontario)
🏢 Realign
📍 Ontario