Lead Data Solution Engineer-6

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

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

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