Principal Data Engineer

TPI Global Solutions; Alhambra (CA); Sur place; USD 150 000 - 230 000; Plein temps

Résumé du poste

TPI Global Solutions is seeking a Principal Data Engineer in California to design and implement scalable data infrastructure. You will lead data integration, governance, and Lakehouse architecture while guiding a team of engineers.

The role emphasizes collaboration, Python-based data pipelines, Databricks expertise, and Azure resource management to deliver reliable analytical platforms and high-quality data products.

Qualifications

• Five+ years in Databricks, data engineering, data warehousing, and cloud computing.
• Five+ years developing data pipelines with Python.
• Three+ years designing Databricks Lakehouse architecture with governance and data quality.
• One year developing data models.
• One year managing Azure Resources.
• One year automating Azure Data Resources using DataOps.

Connaissances

Communication

Customer focus

Analytical thinking

Time management

Organization

Multitasking

Collaboration

Independence

Mentoring

Quality focus

Formation

Bachelor's in CS/Data Engineering

Outils

Databricks

Azure

Python

DataOps

Description du poste

A Principal Data Engineer is responsible for designing, implementing, and managing the data infrastructure of an organization. The position provides specialized technical expertise in data integration, data quality, data operations, data platform architecture, and data governance to ensure a reliable, scalable, and well-managed analytical environment.

Skills:

Excellent verbal and written communication skills; customer service orientation; strong analytical & business acumen; Excellent time management and organization abilities; with a proven capacity to handle multiple tasks simultaneously; Highly collaborative, yet capable of working independently with focus and self-direction on projects; Meticulous and dedicated to delivering high-quality work; and effective mentor, providing guidance and support to junior data engineers and database administrators.

Experience Required:

Five (5) + years of professional work experience specializing in Databricks with significant expertise in data engineering, data integration, data warehousing, and cloud computing.

Five (5) years of experience in developing data pipelines using Python

Three (3) + years of experience in designing and developing Databricks medallion Lakehouse architecture, applying data governance, and data quality best practices

One (1) year of experience in developing data models

One (1) year of experience in Managing Azure Resources

One (1) year of experience in automating Azure Data Resources using DataOps.

Education Required:

Bachelor’s in Computer Science, Data Engineering, or related field. Additional qualifying experience may be substituted for the required education on a year-for-year basis.