Design and develop data models, processes, and systems aligned with business requirements and organizational standards
Provide hands-on technical leadership and deliver innovative data solutions
Lead end-to-end data solution design and implementation for HR systems
Define and govern data architecture standards, enterprise data models, relational database design, and metadata management
Build and optimize scalable ETL/ELT workflows for HR data integration
Drive DevOps/CI-CD practices and automate deployment pipelines
Collaborate with HR stakeholders and product managers to translate business requirements into technical solutions
Ensure compliance with data governance and regulatory frameworks
Mentor engineers and lead cross-functional teams
Apply emerging technologies such as AI/LLM and advanced analytics to enhance HR data capabilities
Requirements Bachelor's 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 similar cloud data platforms
5+ years of hands-on experience with SQL, Python, Java, or similar coding languages
3+ years of experience designing, architecting, or building data products
Solid understanding of data governance frameworks, data quality methodologies, and metadata management




Experience in highly regulated industries such as banking or financial services
Proven ability to design scalable, secure, and high-performance data solutions
Excellent communication skills and ability to translate complex technical concepts for business leadership
Strong analytical and problem-solving skills with attention to detail
Nice-to-have: Snowflake or cloud data platform certifications
Nice-to-have: Experience with metadata-driven architectures, API design, domain-driven design, or data mesh patterns
Nice-to-have: Agile, CI/CD, and DevOps experience
Nice-to-have: Experience with AI/ML applications in HR data
Nice-to-have: Familiarity with HR systems such as Workday or SAP SuccessFactors and integration patterns
Core Competencies Demonstrates expertise in data architecture, data engineering, and enterprise data management, with a strong focus on designing scalable ETL/ELT workflows and data integration solutions. Proven ability to lead cross-functional teams and mentor engineers while ensuring compliance with data governance frameworks.
Highest-signal resume keywords Data Architecture
ETL/ELT Design
Snowflake
SQL
Data Governance
ATS Optimization Keywords Hard Skills Data Modeling
Relational Database Design
Data Warehousing
Data Lakes
Data Integration
Python
Java
AI/LLM Applications
Advanced Analytics
Metadata Management
Soft Skills Excellent Communication
Analytical Skills
Problem-Solving
Attention to Detail
Certifications & Qualifications Snowflake Certifications
Industry Keywords Banking
Financial Services
Data Governance Frameworks
Data Quality Methodologies
Tools & Technologies Cloud Data Platforms
HR Systems
Workday
SAP SuccessFactors
CI/CD
DevOps

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📌 Lead Data Solution Engineer (Ontario)
🏢 Jobtailor
📍 Ontario