Design and develop data models, processes, and systems aligned with business requirements and organizational standardsProvide hands-on technical leadership and deliver innovative data solutionsLead end-to-end data solution design and implementation for HR systemsDefine and govern data architecture standards, enterprise data models, relational database design, and metadata managementBuild and optimize scalable ETL/ELT workflows for HR data integrationDrive DevOps/CI-CD practices and automate deployment pipelinesCollaborate with HR stakeholders and product managers to translate business requirements into technical solutionsEnsure compliance with data governance and regulatory frameworksMentor engineers and lead cross-functional teamsApply emerging technologies such as AI/LLM and advanced analytics to enhance HR data capabilitiesRequirementsBachelor's Degree in Computer Science, Software Engineering or equivalent10+ years of experience in data architecture, data engineering, or enterprise data management6+ years designing enterprise data architectures across multiple domains6+ years designing and optimizing ETL/ELT and data integration solutions6+ years with data warehouses, data lakes, and analytics platforms6+ years with data modeling and relational database design5+ years of hands-on experience with Snowflake or similar cloud data platforms5+ years of hands-on experience with SQL, Python, Java, or similar coding languages3+ years of experience designing, architecting, or building data productsStrong understanding of data governance frameworks, data quality methodologies,



and metadata managementExperience in highly regulated industries such as banking or financial servicesProven ability to design scalable, secure, and high-performance data solutionsExcellent communication skills and ability to translate complex technical concepts for business leadershipStrong analytical and problem-solving skills with attention to detailNice-to-have: Snowflake or cloud data platform certificationsNice-to-have: Experience with metadata-driven architectures, API design, domain-driven design, or data mesh patternsNice-to-have: Agile, CI/CD, and DevOps experienceNice-to-have: Experience with AI/ML applications in HR dataNice-to-have: Familiarity with HR systems such as Workday or SAP SuccessFactors and integration patternsCore CompetenciesDemonstrates expertise in data architecture, data engineering, and enterprise data management, with a solid 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 keywordsData ArchitectureETL/ELT DesignSnowflakeSQLData GovernanceATS Optimization KeywordsHard SkillsData ModelingRelational Database DesignData WarehousingData LakesData IntegrationPythonJavaAI/LLM ApplicationsAdvanced AnalyticsMetadata ManagementSoft SkillsExcellent CommunicationAnalytical SkillsProblem-SolvingAttention to DetailCertifications & QualificationsSnowflake CertificationsIndustry KeywordsBankingFinancial ServicesData Governance FrameworksData Quality MethodologiesTools & TechnologiesCloud Data PlatformsHR SystemsWorkdaySAP SuccessFactorsCI/CDDevOps #J-18808-Ljbffr

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