At a Glance
- Tasks: Architect and deliver enterprise-scale data solutions for HR processes.
- Company: Join a leading company in Toronto focused on innovative data solutions.
- Benefits: Full-time role with competitive salary and opportunities for growth.
- Other info: Collaborative environment with mentorship and leadership opportunities.
- Why this job: Make a real impact by driving innovation in HR data capabilities.
- Qualifications: Strong experience in data engineering and architecture required.
The predicted salary is between 123750 - 151250 $ per year.
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
Lead Data Solution Engineer in Toronto employer: Realign Llc
Join a forward-thinking company in Toronto, ON, where innovation meets collaboration in the realm of AI development. As a Python & Java AI Developer, you'll thrive in a hybrid work environment that promotes a healthy work-life balance while engaging in meaningful projects that drive enterprise-wide initiatives. With a strong emphasis on employee growth, mentorship opportunities, and a culture that values creativity and teamwork, this is an excellent place to advance your career in a dynamic and supportive setting.
