Job Description Lead Cloud Data Solutions Engineer HR Systems (Banking) Location: Toronto, ON Work Model: Hybrid 4 Days Work From Office (WFO) Role Overview As the Lead Data Solution Engineer within the Data Strategy team, you will architect and deliver enterprise-scale data solutions that drive innovation and efficiency across HR processes.

This role combines deep technical, hands-on expertise in data engineering, data architecture, and data 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 workplace.

Key Responsibilities Design and develop data models, processes, and systems , ensuring alignment with business requirements and organizational standards and best practices.

Provide hands-on technical leadership and deliver innovative data solutions that enhance operational efficiency and address complex business challenges.

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

Define and govern data architecture standards , including: Enterprise data models Relational database design Metadata management for HR domains Build and optimize scalable ETL/ELT workflows using technologies such as: Open

Shift Snowflake dbt Airflow Spark Focus on HR data integration across domains such as: Core HR Payroll Talent Management Drive Dev





Ops and 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.

Ensure compliance with data governance and regulatory frameworks , including risk and privacy requirements.

Mentor engineers and lead cross-functional teams consisting of developers, business analysts, and HR partners.

Apply emerging technologies such as AI/LLM and advanced analytics to enhance HR data capabilities and innovation.

Required Qualifications & Experience Education Bachelor''s degree in Computer Science, Software Engineering, or equivalent .

Professional Experience 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 working with data warehouses, data lakes, and analytics platforms. 6+ years of experience with data modeling and relational database design. 5+ years of hands-on experience with Snowflake or similar cloud data platforms . 5+ years of hands-on experience with SQL, Python, Java, or similar programming languages .



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

Technical & Domain Skills Strong understanding of data governance frameworks .

Strong knowledge of data quality methodologies and metadata management .

Experience working in highly regulated industries, particularly banking or financial services .

Experience designing scalable, secure, and high-performance data solutions .

Strong understanding of enterprise data architecture, data integration, and data engineering best practices.

Experience with cloud and hybrid data environments, including Azure, AWS, and on-premises infrastructure .

Strong technical leadership, mentoring, and cross-functional collaboration skills.

Key Technology Stack Data Platforms: Snowflake, Data Warehouses, Data Lakes Data Engineering: ETL, ELT, Data Integration, Spark Data Transformation: dbt Workflow Orchestration: Airflow Container / Platform: Open

Shift Programming: SQL, Python, Java Cloud: Azure, AWS, On-Premises Dev

Ops: CI/CD, Deployment Automation Emerging Technologies: AI/LLM, Advanced Analytics Data Management: Data Modeling, Data Architecture, Metadata Management, Data Governance, Data Quality Core Competencies Enterprise Data Architecture Data Engineering Data Modeling Data Integration ETL/ELT Cloud Data Platforms Data Warehousing & Data Lakes Data Governance Metadata Management Data Quality HR Data Integration Dev

Ops & CI/CD Technical Leadership Cross-Functional Team Leadership Regulatory Compliance

📌 Lead Cloud Data Solutions Engineer – HR Systems (Banking) (Toronto)
🏢 Astra North Infoteck
📍 Toronto