Senior Enterprise Architect

Jobtailor; Deutschland; Vor Ort; EUR 90.000 - 130.000; Vollzeit

Zusammenfassung

Jobtailor is seeking a data architecture expert to design enterprise data warehouse architectures and data models. You will define data integration strategies across relational databases, APIs, and streaming platforms, and create architecture and technical design documentation.

Collaborating with data engineers, you will develop proofs of concept for new tools, provide technical leadership on data initiatives, and stay hands-on when evaluating emerging technologies.

Qualifikationen

• Enterprise data warehouse design and architecture.

Aufgaben

• Design enterprise data warehouse architectures and data models.
• Define data integration strategies across multiple source systems, including relational databases, APIs, and streaming platforms.
• Create architecture and technical design documentation.
• Collaborate with data engineers to implement solutions.
• Develop proofs of concept for new tools or technologies before broader implementation.
• Provide technical leadership on new data initiatives while remaining hands-on when needed.

Kenntnisse

Data warehouse design

Dimensional modeling

Snowflake

Kafka

AWS

Data integration

Relational databases

APIs

Streaming data

Technical documentation

POC development

Tools

None

Jobbeschreibung

Overview

Designing enterprise data warehouse architectures and data models. Defining data integration strategies across multiple source systems, including relational databases, APIs, and streaming platforms. Creating architecture and technical design documentation. Collaborating with data engineers to implement solutions. Developing proofs of concept for new tools or technologies before broader implementation. Providing technical leadership on new data initiatives while remaining hands-on when needed.

Responsibilities

• Design enterprise data warehouse architectures and data models.
• Define data integration strategies across multiple source systems, including relational databases, APIs, and streaming platforms.
• Create architecture and technical design documentation.
• Collaborate with data engineers to implement solutions.
• Develop proofs of concept for new tools or technologies before broader implementation.
• Provide technical leadership on new data initiatives while remaining hands-on when needed.

Requirements

• Enterprise data warehouse design and architecture.
• Strong dimensional data modeling experience.
• Hands-on experience with Snowflake.
• Experience with Kafka.
• AWS experience.
• Enterprise data integration experience, including relational databases, APIs, and streaming data.
• Ability to create technical architecture documentation and translate business requirements into technical solutions.
• Hands-on development experience to build proof of concepts when evaluating new technologies.