About the job
As a Senior Data Analytics & Data Engineering Architect, you will play an integral role within the Common Data Intelligence (CDI) Hub. Your primary responsibility will be to design, evolve, and oversee T-Systems’ central Azure Lakehouse architecture. This position emphasizes the transition from traditional data warehouse frameworks to modern, cloud-based data platforms that facilitate enterprise-level analytics, sophisticated data applications, and self-service business intelligence.
Team/Project Overview
The CDI Hub stands as the core data and analytics unit, tasked with establishing and managing comprehensive data platforms and standards across the enterprise. Our interdisciplinary team collaborates with various business sectors and global engineering teams to provide scalable, secure, and future-proof Azure-driven analytics solutions.
Your Responsibilities
- Architect and enhance the enterprise Azure Lakehouse framework to guarantee scalability, performance, and longevity.
- Lead the modernization of traditional Data Warehouse settings into innovative Lakehouse and Delta Lake architectures.
- Oversee the architectural process from initial concept through implementation and continuous refinement.
- Establish and enforce architectural principles, standards, patterns, and best practices for data engineering and analytics platforms.
- Design and manage data ingestion, processing, and streaming pipelines utilizing Azure Databricks, Azure Data Factory, Event Hub, and Azure Logic Apps.
- Create and refine data processing solutions leveraging Delta Lake, Spark, Spark Structured Streaming, SQL, and Python.
- Develop data modeling strategies for both data lake and warehouse layers, implementing Kimball, Inmon, and Data Vault methodologies.
- Work alongside engineering teams to develop reference architectures, prototypes, and proof-of-concept projects.
- Empower and mentor data engineering teams in high-quality, autonomous solution development.
- Ensure that platform designs adhere to enterprise security, data protection, and regulatory standards.
- Support advanced analytics, self-service BI, and reporting initiatives across the organization.
- Engage closely with product owners, architects, governance, and business stakeholders in agile environments.
- Contribute to the ongoing enhancement of platform architecture, development processes, and operational frameworks.
