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 Robust 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 (Winnipeg)
🏢 Jobtailor
📍 Winnipeg