Senior Architect, AWS Data Management

🕒 March 2

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XL2 by Audi & Capgemini

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2020

🤝 B2B

🏢 Enterprise

B2B • Enterprise

XL2 by Audi & Capgemini is a specialist team that drives the digital transformation of the automotive manufacturing sector by designing and implementing end-to-end cloud and SAP-based solutions. The company delivers production-data platforms, SAP S/4HANA integration, and AWS cloud architecture to simplify and modernize vehicle production processes, working as a B2B partner with automotive OEMs and suppliers. XL2 emphasizes transparency, collaboration, and technical excellence to build scalable, enterprise-grade systems for automotive clients.

📋 Description

• 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 • Develop standards and guidelines for data access, sharing, and cataloging in close coordination with Data Owners and business units • Integrate external tools such as Collibra into the AWS environment to ensure seamless data governance and high data quality • Promote decentralization and automation of data management tasks by enabling self-service solutions for teams and business units • Own the creation, evolution, and rollout of principles and policies for handling data • 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 • Participate in and/or coordinate data management activities originating from decentralized projects and ensure continuous alignment with the central Data Management team • Model business and data objects and onboard them into the group-wide data catalog via AWS DataZone • Organize, prepare, and facilitate data-governance-oriented committees and forums

🎯 Requirements

• Deep understanding of AWS services in the data domain, 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 the principles, practices, and technologies of data management • Competence in managing and implementing data access and data sharing processes • Experience implementing standards and rules for managing the data catalog • Knowledge of data quality and lifecycle management and implementing Data Governance KPIs • Solid understanding of business processes in complex automotive companies • Competence in integrating third-party tools (e.g., Collibra) into AWS architectures • Ability to assert influence with clients and act as a reliable guide in the areas of Data Governance and Data Management • Independent, structured working style and strong communication skills with the ability to bring together diverse stakeholders — including across hierarchy levels • German and English language skills at a minimum of C1 level are mandatory for this position.

🏖️ Benefits

• Company car • Stock and pension programs • 3 months continued salary payment in the event of illness • Job bike (company bike) • Home office equipment • 8 days of training per year • Accident insurance • Complimentary beverages • After-work events (e.g., laser tag, bowling) • Public transport and childcare subsidies