- As the Lead Data Solution Engineer in the Data Strategy team, you will architect and deliver enterprise-scale data solutions that drive innovation and efficiency in HR processes.

- This role combines deep technical/hands-on expertise in data engineering, architecture, and modeling with strategic leadership to align data systems with HR business objectives.

- You will lead cross-functional teams, mentor engineers, and ensure compliance with regulatory standards in a highly governed environment.

What will you do?

- Design and develop data models, processes, and systems, ensuring alignment with business requirements and adherence to organizational standards and best practices.

- Provide hands-on technical leadership, and deliver cutting-edge data solutions that enhance operational efficiency and address complex challenges.

- Lead end-to-end data solution design and implementation of HR systems, ensuring scalability, security, and alignment with hybrid cloud strategy (Azure/AWS/On-prem).

- Define and govern data architecture standards, including enterprise data models, relational database design, and metadata management for HR domains.

- Build and optimize scalable ETL/ELT workflows using tools like OpenShift, Snowflake, dbt, Airflow and Spark, with a focus on HR data integration (e.g., core HR, payroll, talent management).

- Drive DevOps/CI-CD practices to automate deployment pipelines and ensure high availability of HR data platforms.





- Collaborate with HR stakeholders and product managers to translate business requirements into technical solutions, ensuring compliance with data governance and regulatory frameworks (e.g., risk, privacy).

- Mentor other engineers and lead cross-functional teams (developers, business analysts, HR partners) to deliver impactful data solutions.

- Apply emerging technologies (e.g., AI/LLM, advanced analytics) to enhance HR data capabilities and innovation.

Must-Have

- Bachelors Degree in Computer Science, Software Engineering or equivalent.

- 10+ years of experience in data architecture, data engineering, or enterprise data management.

- 6+ years designing enterprise data architectures across multiple domains.

- 6+ years designing and optimizing ETL/ELT and data integration solutions.

- 6+ years with data warehouses, data lakes, and analytics platforms.

- 6+ years with data modeling and relational database design.

- 5+ years of hands-on experience with Snowflake or other similar cloud data platforms.

- 5+ years of hands-on experience with SQL, Python, Java or other similar coding languages.

- 3+ years of experience designing, architecting, or building data products.

- Strong understanding of data governance frameworks, data quality methodologies, and metadata management.

- Experience in highly regulated industries (banking, financial services) with compliance requirements.

- Proven ability to design scalable, secure, and high-performan.

📌 Lead Data Solution Engineer (Toronto)
🏢 Ju0026M Group
📍 Toronto