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 environment.

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 creative 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:

- OpenShift

- Snowflake
- dbt

- Airflow

- Spark

- Focus on HR data integration across domains such as:

- Core HR

- Payroll

- Talent Management





- Drive DevOps 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: OpenShift

Programming: SQL, Python, Java

Cloud: Azure, AWS, On-Premises

DevOps: 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

- DevOps & CI/CD

- Technical Leadership

- Cross-Functional Team Leadership

- Regulatory Compliance

📌 Lead Cloud Data Solutions Engineer – HR Systems (Banking) (Toronto)
🏢 Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
📍 Toronto