Remote Principal Data Engineer — Lakehouse & Architecture Lead

Creative Testing Solutions; Addison (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

Creative Testing Solutions is seeking a Principal Data Engineer to design, build, and maintain data pipelines and data infrastructure that empower analysts, data scientists, and BI teams. You will lead data platform initiatives, establish governance, and collaborate with DevOps to ensure scalable, reliable analytics capabilities.

Responsibilities include developing Lakehouse architectures, ETL/ELT pipelines, and optimized SQL queries while driving best practices in data management, security, and

Qualifications

• Bachelor's degree in Computer Engineering or related field, or equivalent technical experience.
• 10+ years of data engineering experience or equivalent.
• Experience designing Data Warehouses and data architectures; lead/architect role preferred.

Responsibilities

• Conceptualizes and implements foundational data models, Data Lake, ETL pipelines for reporting platforms.
• Writes and optimizes SQL queries for large-scale data environments.
• Develops data engineering architecture, Lakehouse, and analytics solutions.
• Designs cloud architecture across apps, IAM, networks, and data management.
• Implements data governance, cleansing, deduplication, and quality controls.
• Builds scalable ETL/ELT pipelines across multiple data sources/destinations.
• Collaborates with analysts, scientists, and engineers to translate data needs into solutions.
• Optimizes data workflows for performance, scalability, and reliability.
• Maintains data models and warehouse schemas supporting analytics and BI.

Skills

Cross-functional collaboration

Analytical thinking

Troubleshooting

Communication skills

Problem solving

Education

Bachelor's degree in Computer Engineering or related field

Tools

Azure

Fabric data platform

ADF

DevOps

Job description

Creative Testing Solutions is seeking a Principal Data Engineer to design, build, and maintain data pipelines and data infrastructure that empower analysts, data scientists, and BI teams. You will lead data platform initiatives, establish governance, and collaborate with DevOps to ensure scalable, reliable analytics capabilities.

Responsibilities include developing Lakehouse architectures, ETL/ELT pipelines, and optimized SQL queries while driving best practices in data management, security, and