Data Architect (PostgreSQL / Data Platforms)

Quick Facts

• Role: Data Architect for data platforms (PostgreSQL)

• Work mode: Leipzig office, Homeoffice, or remote from your hometown; remote collaboration with occasional on-site alignment in Frankfurt am Main

• Schedule: Flexible working hours

• Compensation: €66,000–€84,000 per year

• Employment: Full-time, permanent; project starts January 2027

Description

Design and continuously improve the data architecture of a data platform with multiple supplier and consumer systems and multi-terabyte data volumes. You will create PostgreSQL-based data models and database designs, optimize performance, and model and improve ETL/ELT pipelines including data lineage. You will also advise on data strategy and architecture decisions (e.g., Data Mesh and cloud architectures), evaluate tooling via Proof of Concepts, and document technical guidelines.

Responsibilities

• Conceive and further develop the data architecture for a platform with ~20 supplier systems, 50+ consumer systems, and several TB of data

• Design data models and PostgreSQL database designs and optimize performance

• Model and optimize data flows and pipelines (ETL/ELT, data lineage)

• Advise customers on data strategy, scaling, and architecture decisions (e.g., Data Mesh, cloud architectures)

• Evaluate database and data management tools and implement Proof of Concepts

• Concept data integration, data migration, and data quality management

• Create architecture documentation and technical guidelines

• Collaborate with a team at a large customer, remote with occasional on-site meetings in Frankfurt am Main

Requirements

• Technical or natural science education or degree

• More than 5 years of data architecture experience in complex IT landscapes

• Experience architecting large data platforms with terabyte-scale volumes

• Very good PostgreSQL skills, especially data modeling, database architecture, and performance optimization

• Experience building/architecting data pipelines and ETL/ELT processes

• Experience analyzing and optimizing performance for large data volumes

• Fluent German and English; German required at C2 level

• Willingness to continuously learn new topics

Benefits

• Flexible working hours

• Very good salary range (€66,000–€84,000 per year)

• Office/homeoffice/remote-from-home flexibility

• Permanent full-time position with a project starting January 2027