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 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

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 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

#J-18808-Ljbffr