About the role

(Senior) Architect AWS Data Management responsible for AWS data architectures and leading teams in the automotive industry transformation. Develops data management principles and integrates external tools within AWS environments.

Responsibilities

You lead development teams in the context of data management and design scalable, multi-tenant-capable AWS data architectures with a focus on AWS DataZone and Lake Formation
You develop standards and policies for data access, data sharing, and data cataloging in close coordination with data owners and business units
You integrate external tools, such as Collibra, into the AWS environment to ensure seamless data management and high data quality
You promote decentralization and automation of data management tasks by enabling self-service solutions for teams and business units
You are responsible for creating, evolving, and rolling out principles and policies for handling data
You define, continuously update, and enforce group-wide (process) standards and policies in data management in close collaboration with data owners, business units, and management functions
You participate in or steer data management activities originating from decentralized projects and ensure ongoing alignment with the central data management team
You model business and data objects and transfer them into the group-wide data catalog using AWS DataZone
You are responsible for organizing, preparing, and moderating data-governance-oriented committees

Solid understanding of AWS data services, especially Glue, S3, Redshift, and RDS databases (ideally also AWS DataZone and Lake Formation)
General AWS expertise (IAM, Lambda, CloudWatch, KMS, EventBridge, Step Functions, Secrets Manager, ...)
Experience leading development teams and implementing data domains and data products
Understanding of data management principles, practices, and technologies
Competence in managing and implementing data access and data sharing processes
Experience implementing standards and rules for data catalog management
Knowledge of data quality and lifecycle management and experience implementing data governance KPIs
Solid understanding of business processes in complex automotive organizations
Skills in integrating third-party tools (e.g., Collibra) into AWS architectures
Ability to assertively represent our clients' interests and to act as a reliable guide in data governance and data management
Independent, structured working style and strong communication skills, with the ability to bring together diverse stakeholders — including across hierarchical levels
German and English language skills at a minimum of C1 level are mandatory for this position