Purpose
The Senior Data Analytics & Data Engineering Architect is a key member of the Common Data Intelligence (CDI) Hub, responsible for designing, evolving, and governing T-Systems’ central Azure Lakehouse architecture. The role focuses on transforming traditional data warehouse landscapes into modern, cloud-native data platforms that enable enterprise-scale analytics, advanced data use cases, and governed self-service BI.
Team / Project Description
The Common Data Intelligence (CDI) Hub is the central data and analytics organization responsible for defining and operating enterprise-wide data platforms and standards. The team works across business domains and international engineering units to deliver scalable, secure, and future-ready Azure-based analytics solutions.
WHAT WILL YOU DO?
- Design and evolve the enterprise Azure Lakehouse architecture, ensuring scalability, performance, and long-term sustainability.
- Lead the transformation of classic Data Warehouse environments into modern Lakehouse and Delta Lake-based architectures.
- Take architectural ownership from concept through implementation, production rollout, and continuous optimization.
- Define and implement architecture principles, standards, patterns, and best practices for data engineering and analytics platforms.
- Design and oversee data ingestion, processing, and streaming pipelines using Azure Databricks, Azure Data Factory, Event Hub, and Azure Logic Apps.
- Build and optimize data processing solutions using Delta Lake, Spark, Spark Structured Streaming, SQL, and Python.
- Define data modeling strategies across data lake and warehouse layers, applying Kimball, Inmon, and Data Vault methodologies.
- Collaborate with engineering teams to implement reference architectures, prototypes, and proof-of-concepts.
- Enable and coach data engineering teams toward autonomous, high-quality solution development.
- Ensure platform designs comply with enterprise security, data protection, and regulatory requirements.
- Support advanced analytics, self-service BI, and reporting use cases across the organization.
- Work closely with product owners, architects, governance, and business stakeholders in agile delivery environments.
- Contribute to continuous improvement of platform architecture, development processes, and operating models.
YOU WILL SUCCEED IF YOU:
- have a degree in (Business) Informatics, Business Administration, or equivalent practical experience
- have senior-level experience in Data Platform / Lakehouse Architecture – Expert
- have 5+ years of hands-on experience in data engineering or data architecture roles
- have proven experience transforming traditional Data Warehouse landscapes into Lakehouse / Delta Lake architectures
- have strong architectural owne