Lead Data Solution Engineer

• 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 Dev Ops/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

• 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
• Strong 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 Dev Ops experience
• Nice-to-have:
  Experience with AI/ML applications in HR data
• Nice-to-have:
  Familiarity with HR systems such as Workday or SAP Success Factors and integration patterns

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.

• Data Architecture
• ETL/ELT Design
• Snowflake
• SQL
• Data Governance

• Data Modeling
• Relational Database Design
• Data Warehousing
• Data Lakes
• Data Integration
• Python
• Java
• AI/LLM Applications
• Advanced Analytics
• Metadata Management

• Excellent Communication
• Analytical Skills
• Problem-Solving
• Attention to Detail

• Snowflake Certifications

• Banking
• Financial Services
• Data Governance Frameworks
• Data Quality Methodologies

• Cloud Data Platforms
• HR Systems
• Workday
• SAP Success Factors
• CI/CD
• Dev Ops