Data Architect (m/w/d)

STATWORX GmbH; Germany (OH); On-site; USD 81,244 - 104,456; Full time

Benefits offered by this job

Transparent salary bands

Subsidized Germany Ticket

High-quality IT equipment

Regular team events

Job summary

A leading consulting firm seeks a Data Engineer to develop scalable data architectures and manage data modeling across various projects. The ideal candidate will have a Master's degree in a related field, at least 5 years of experience, and strong skills in SQL and Python. The role includes advising clients, building data infrastructures, and mentoring junior staff. This position offers flexible working arrangements and various professional development opportunities.

Qualifications

• At least five years of relevant professional experience in Data Engineering or Data Architecture.
• Strong skills in SQL, Python, and Bash/Shell.
• Hands-on experience with cloud platforms and modern data platforms.

Responsibilities

• Develop modern and scalable data architectures and design high-performing data models.
• Advise clients on technologies and best practices.
• Build data infrastructures using Infrastructure-as-Code.

Skills

SQL

Python

Bash/Shell

Data Governance

Effective Communication

Education

Master’s degree in (Business) Informatics, Computer Science, or comparable field

Tools

Azure

AWS

GCP

Terraform

Databricks

Snowflake

Job description

About us

With deep expertise in Data Engineering, Data Science, and Machine Learning, we help our clients unlock the full potential of their data. statworx is a leading consulting and development company for data and AI, based in Frankfurt am Main. We offer strategic consulting for medium-sized businesses and global corporations. We develop innovative data and AI solutions across all business areas and corporate functions. We empower people at all levels of expertise with our data and AI education formats. In short: We support companies in all aspects of digital transformation – for over 10 years, in more than 1000 data and AI projects, and for over 100 clients from almost all industries.

Your tasks

Focus: Data lakehouse & warehouse solution, architecture, data models

• Develop modern and scalable data architectures (data warehouses, data lakes, lakehouses) and design high-performing data models for analytics, ML, and AI use cases
• Advise clients on technologies, platforms, and best practices, translating technical concepts into clear, understandable recommendations for both business and management stakeholders
• Integrate structured and unstructured data sources, implement robust ETL/ELT processes, and ensure high data quality throughout the pipeline
• Build cloud and on-premises data infrastructures (Azure, AWS, GCP) using Infrastructure-as-Code, automated deployment processes, and monitoring systems
• Consider data governance, privacy, and security requirements along the entire data value chain
• Depending on the project, support modern AI applications (e.g., vector databases, embeddings, RAG) by designing the appropriate data pipelines and infrastructure
• Mentor and support junior colleagues, fostering a collaborative culture of knowledge sharing and teamwork
• Actively share your expertise — for example through workshops, technical blog posts, or presentations at internal events

Your profile

• You have successfully completed a Master’s degree, ideally in (Business) Informatics, Computer Science, or a comparable field
• You have at least five years of relevant professional experience in Data Engineering or Data Architecture.
• You possess strong skills in SQL, Python, and Bash/Shell, and have experience developing efficient and maintainable data pipelines
• You have a solid understanding of modern data architectures and experience in data modeling as well as ETL/ELT processes
• You have hands-on experience with cloud platforms (Azure, AWS, or GCP), distributed systems (e.g., Spark, Kafka), and modern data platforms (e.g., Databricks, Snowflake)
• You are familiar with data governance, data protection (e.g., GDPR), and security requirements in cloud environments
• Ideally, you have experience with Infrastructure-as-Code (e.g., Terraform, Pulumi) and CI/CD workflows.
• Experience with LLM-related data architectures (vector databases, embeddings, RAG) is a plus.
• You are able to lead technical discussions and communicate effectively with stakeholders at all levels — including non-technical audiences
• You take ownership of your work and approach challenges with a structured, detail-oriented mindset.
• You are fluent in English (spoken and written) and have advanced German skills (B2 or higher), or you are willing to further improve them

Our offer

• Data & AI at the core: Work on diverse and challenging projects with leading clients across various industries – from data-driven solutions to innovative AI applications
• Professional variety & growth: Tackle complex, multifaceted questions and continuously expand your expertise in your field as well as in the broader Data & AI landscape
• Continuous development: We support your methodological, professional, and personal growth through regular feedback, tailored learning opportunities, training formats, and our mentoring program
• Culture & collaboration: You’ll be part of an open, diverse, and respectful work environment with flat hierarchies, short decision-making paths, and a strong sense of team spirit
• Modern ways of working: We embrace an iterative, modern work culture based on clear communication, ownership, and room for new ideas and creative freedom
• Transparent compensation: We offer fair, structured, and transparent salary bands that are regularly reviewed and aligned with market and performance developments
• Flexible work setup: Our modern Frankfurt office serves as your main workplace – while giving you the flexibility to work remotely on a regular basis and up to four weeks per year from within the EU
• Mobility & well-being: Benefit from a subsidized Germany Ticket and discounted access to sports and wellness offerings through Wellpass
• Equipment & extras: High-quality IT equipment (e.g., MacBook Pro), regular team events, childcare support, and attractive employee discounts complete your package

Your application

Simply apply via the application form and attach your current CV including a description of your methodological skills. We will contact you as soon as possible. If you have any questions on your application, you can reach us at [e-mail].

What is particularly important to us is that we value the uniqueness of each person and always treat each other as equals. Different backgrounds, attitudes and ideas enrich us and form the basis of our success. That’s why we welcome every application - regardless of gender, nationality, ethnic and social origin, religion, ideology, disability, age, or sexual orientation and identity.