PostgreSQL Data Architect & ETL Specialist

Deloitte France; Dallas (TX); On-site; USD 103,000 - 171,000; Full time

Job summary

Deloitte United States in Dallas seeks a data engineer / database specialist to design, implement, and optimize PostgreSQL environments for clients.

You will build reliable ETL pipelines, perform performance tuning, and apply advanced data modeling to support critical business intelligence and analytics across engagements.

Collaborate with software developers, data scientists, and business analysts to ensure data quality, governance, and scalable architectures.

Qualifications

• 4+ years in data engineering, database administration, or data-focused software development.
• Hands-on PostgreSQL administration including configuration, performance tuning, and maintenance tasks.
• Strong knowledge of relational database design, normalization, and modern data modeling techniques.
• Advanced SQL skills: write complex queries, analyze large datasets, and validate data quality.
• Experience developing end-to-end ETL data pipelines.

Responsibilities

• Database Administration & Maintenance: Administer, configure, and maintain PostgreSQL environments for clients; manage user access and backups.
• Database Design & Architecture: Architect scalable relational schemas and translate requirements into robust designs.
• Data Modeling & Analysis: Model data and ensure integrity across enterprise systems.
• ETL Pipeline Development: Design, build, and deploy ETL workflows to load data into analytical databases.
• Performance Tuning: Monitor performance, optimize SQL, and reduce latency.
• Cross-Functional Collaboration: Liaise between developers, data scientists, and business analysts.

Skills

PostgreSQL

SQL

Data modeling

ETL pipelines

Relational design

Education

Bachelor's degree

Related IT discipline or equivalent experience

Tools

MongoDB

AWS

Azure

GCP

Job description

Deloitte United States in Dallas seeks a data engineer / database specialist to design, implement, and optimize PostgreSQL environments for clients.

You will build reliable ETL pipelines, perform performance tuning, and apply advanced data modeling to support critical business intelligence and analytics across engagements.

Collaborate with software developers, data scientists, and business analysts to ensure data quality, governance, and scalable architectures.