Data Architect (f/m/d)

Siemens Energy; Erlangen; Hybrid; EUR 65.000 - 85.000; Vollzeit

Zusammenfassung

A global energy technology company is seeking a Data Architect. You will design data architectures for AI and ML platforms, ensuring secure and efficient data flows across hybrid environments. The ideal candidate has a Master’s degree and extensive experience with data modeling and cloud technologies. Join a team that empowers engineering solutions for the future.

Leistungen

Attractive remuneration package

Company pension scheme

Flexible and remote work options

Professional development opportunities

Support for work-life balance

Qualifikationen

• Master’s degree in computer science, data engineering, information systems, or related field.
• Extensive experience designing scalable data architectures.
• Strong expertise in data modeling and cloud-native data technologies.

Aufgaben

• Design end-to-end data architectures for hybrid environments.
• Define robust data models and metadata strategies.
• Establish data quality, lineage, and compliance frameworks.
• Collaborate to align on data interfaces and flows.
• Evaluate and integrate modern data technologies.

Kenntnisse

Data modeling

Cloud-native data technologies

ETL pipeline design

Collaboration

Data governance

Ausbildung

Master’s degree in computer science or related field

Tools

Apache Kafka

Spark

Snowflake

Delta Lake

Jobbeschreibung

Overview

Data Architect (f/m/d) role at Siemens Energy.

As a Data Architect in the Scalable Core team, you will design the data architecture powering our AI, ML, and GenAI platforms. You’ll enable secure, efficient data flows across cloud, on-premises, and edge environments, and define models, governance, and standards in collaboration with engineering, MLOps, and platform teams. Your work will drive the performance, reliability, and trust of all our data-driven solutions.

Responsibilities

• Design and evolve end-to-end data architectures for ingestion, processing, storage, and access across hybrid environments.
• Define robust data models, APIs, and metadata strategies to support AI/ML, analytics, and backend service use cases.
• Establish data quality, lineage, and compliance frameworks to ensure secure and trustworthy data use.
• Collaborate across teams to align on data interfaces, formats, and flows that enable efficient model training and service integration.
• Define and implement data governance policies, lifecycle management, and cataloging practices.
• Evaluate and integrate modern data technologies (e.g., streaming platforms, data lakes, cloud-native services) aligned with enterprise strategy.

Qualifications

• Master’s degree in computer science, data engineering, information systems, or related field, or equivalent experience.
• Extensive experience designing scalable data architectures, modern data platforms, and robust ETL pipelines.
• Strong expertise in data modeling, architecture patterns, and cloud-native data technologies.
• Proficient with tools such as Apache Kafka, Spark, Snowflake, Delta Lake, or cloud equivalents (Azure/AWS/GCP).
• Solid knowledge of data security, governance, compliance (e.g., GDPR), and enterprise integration patterns.
• Strategic, collaborative approach with the ability to set standards and design technical roadmaps (bonus: experience supporting AI/ML, LLMs, or GenAI).

About the Team

The Scalable Core team builds foundational technologies and developer platforms to enable scalable and intelligent energy management solutions across Siemens Energy. We create reusable backend services, AI/ML platforms, and lifecycle tools to support cloud, on-premises, and edge deployments. Our mission is to empower engineering teams to deliver high-quality, data-driven solutions faster through automation and scalable software foundations.

About Siemens Energy

Siemens Energy is a global energy technology company with about 100,000 dedicated employees in more than 90 countries. We develop energy systems of the future to meet growing energy demand reliably and sustainably, supporting the energy transition and the global electricity generation.

Our Commitment to Diversity

We value equal opportunities and welcome applications from people with disabilities.

Rewards and Benefits

• Attractive remuneration package and a company pension scheme.
• Opportunity to become a Siemens Energy shareholder.
• Flexible and remote work options, with offices that support collaboration.
• Professional and personal development opportunities with various programs and learning materials.
• Support for work–life balance with flexible working time models, childcare options at many locations, trial part-time work or sabbaticals.

Job Details

• Seniority level: Associate
• Employment type: Full-time
• Job function: Research
• Industries: Appliances, Electrical, and Electronics Manufacturing