Senior Data Architect: Cloud Lakehouse & AI Pipelines — Remote

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.

Our AI Development department acts as a catalyst for data and AI transformation. We take a holistic approach that spans the entire journey — from assessing AI maturity to designing, developing, and scaling end-to-end data and AI solutions.

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

• Develop modern and scalable data architectures (data warehouses, data lakes, lake houses) 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

• 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

• 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…