Senior Data Architect: Real-Time, Cloud-Native DataOps

Siemens Mobility; Lisboa; Híbrido; EUR 90 000 - 160 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Hybrid model

Home office budget

Health and well-being benefits

Learning & mentoring opportunities

Shuttle service

Resumo da oferta

Siemens Mobility is seeking a Senior Data Architect to design and orchestrate cloud-native data architecture at global scale. You will champion data-as-a-product, embed quality at the source, and bridge transactional and analytical systems for real-time insights.

Lead the modernization of data stacks using Snowflake, DBT, and multiple cloud services, while enabling streaming architectures and robust DevOps practices across teams. Fluent English is required, with German a plus.

Qualificações

• University degree in Computer Science, Information Technology, Engineering, or a related quantitative field.
• 8+ years of experience in data engineering, data modeling, and enterprise data architecture, with a proven track record of designing large-scale production architectures.
• Strong expertise in cloud-native technologies (AWS, Azure, or GCP) and advanced optimization of modern cloud warehouses like Snowflake and engineering tools like DBT.
• Hands-on experience with streaming architectures, event-driven pipelines, and real-time data processing engines.
• Expert-level knowledge of modern data modeling methodologies (Data Vault 2.0, Dimensional Modeling, Kimball, or Inmon) across both OLTP and OLAP environments.
• Advanced programming proficiency in SQL and Python, along with extensive experience with modern DevOps and DataOps toolchains (Git, CI/CD pipelines, Docker, Kubernetes).
• Exceptional communication, consulting, and stakeholder management skills, with the ability to translate complex architectural concepts into clear business outcomes for non-technical audiences.
• Fluency in English (verbal and written); knowledge of German or other languages is a plus.

Responsabilidades

• Establish Data Product Thinking across the domain by designing data architectures, contracts, and semantic layers as reliable, consumer-grade products with SLAs.
• Drive Shift-Left Data Engineering by embedding data quality, telemetry, and validation at source systems to ensure clean data flows.
• Architect Hybrid OLTP & OLAP Environments to support real-time reporting and predictive analytics.
• Design Real-Time Streaming Architectures with scalable, low-latency pipelines (Kafka, Flink) for continuous event processing.
• Modernize the Data Stack with cloud-native platforms (Snowflake, DBT) on AWS, Azure, or GCP.
• Automate with DataOps Mindset by CI/CD, automated testing, containerization, and IaC to speed deployments.
• Consult & Mentor data teams, conducting code reviews and knowledge-sharing sessions across Siemens Mobility.

Conhecimentos

Data engineering

Data modeling

Enterprise architecture

SQL

Python

DevOps

DataOps

Stakeholder management

English fluency

German knowledge

Formação académica

University degree

Ferramentas

Snowflake

DBT

AWS

Azure

GCP

Kafka

Flink

Git

CI/CD

Docker

Kubernetes

Descrição da oferta de emprego

Siemens Mobility is seeking a Senior Data Architect to design and orchestrate cloud-native data architecture at global scale. You will champion data-as-a-product, embed quality at the source, and bridge transactional and analytical systems for real-time insights.

Lead the modernization of data stacks using Snowflake, DBT, and multiple cloud services, while enabling streaming architectures and robust DevOps practices across teams. Fluent English is required, with German a plus.