Senior Data Architect (m/f/d)

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

At Siemens, we build technology solutions to shape the world we live in. We transform industries and societies by combining the real and digital worlds. With over 300.000 of the world’s most forward-thinking minds and the power of a presence in more than 190 countries, we make a truly global impact.

Within the Data Domain Operations, we believe that trusted, high-performance, and real-time data is the foundation of operational excellence. We aren't looking for a traditional database administrator; we are seeking a visionary Senior Data Architect who will design and orchestrate our modern, cloud-native data architecture. This role is at the center of our data transformation, making data-driven operations a reality at global scale.

Move the world from behind the scenes with your IT expertise and passion for game-changing information technology. Rethink how we model and stream data, steering our core systems in completely new directions. Be bold when others would have given up. In short, play a key role in driving digitalization forward!

Welcome to our world!

Are you ready to be part of the change? Come join us!

Your mission will be…

• Establish Data Product Thinking: Champion data-as-a-product across the domain, designing reusable data architectures, data contracts, and semantic layers that treat data assets as reliable, consumer-grade products with strict SLAs.
• Drive Shift-Left Data Engineering: Implement "shift-left" principles by embedding data quality, telemetry and validation controls directly at the source systems (OLTP), ensuring clean, reliable, and well-governed data flows into our operational and analytical platforms.
• Architect Hybrid OLTP & OLAP Environments: Design high-performance database solutions that seamlessly bridge transactional operational databases (OLTP) and analytical warehouses (OLAP) to support real-time reporting and predictive analytics.
• Design Real-Time Streaming Architectures: Build and maintain scalable, low-latency streaming pipelines (using technologies such as Kafka or Flink) to process continuous event streams and enable real-time operational decision-making.
• Modernize the Data Stack (Snowflake & Cloud-Native): Architect and optimize robust, secure, and cost-effective cloud-native data platforms, leveraging Snowflake, DBT, and cloud services (AWS, GCP, or Azure).
• Automate with DataOps Mindset: Standardize and implement production-ready CI/CD pipelines, automated testing, containerization, and Infrastructure as Code (IaC) to accelerate development lifecycles and increase deployment reliability.
• Consult & Mentor: Serve as a trusted advisor and technical mentor to data teams across Siemens, advocating for engineering best practices, conducting code reviews, and hosting knowledge-sharing sessions.

We are looking for someone with…

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

What We Offer

• Belong & Innovate: Work in diverse teams where every idea matters and innovation grows through collaboration and trust.
• Flexibility that Works: Hybrid model, flexible hours, and a home office budget - because balance fuels performance.
• Health & Well-being: Comprehensive health insurance, mental health support, and active sports communities to keep you feeling your best.
• Grow Without Limits: Access world-class learning platforms, mentoring, and continuous development opportunities.
• Purpose & Perks: Contribute to sustainability and volunteer initiatives, enjoy partner discounts, and take advantage of our convenient shuttle service.

FTE:

Thank you for your interest. Please attach your CV in English to your application.

#Siemens

Siemens is deeply committed to fostering a diverse and inclusive environment. We are proud to be an equal opportunity employer and strongly encourage applications from a wide array of talented individuals!