Senior Data Architect (m/w/d)

Responsibilities

• Develop and adapt technical specifications, architecture standards, and solution designs
• Review architecture compatibility and integration across interconnected technologies
• Lead architecture reviews and provide strategic technical advisory
• Implement Snowflake best practices across data platforms and pipelines
• Drive performance optimization and FinOps/cost control initiatives
• Ensure security, governance, and compliance standards are maintained
• Mentor and support engineering and product teams
• Required Expertise
• Minimum 6 years of hands-on experience with Snowflake architecture & development
• Strong experience in ETL / ELT design and implementation
• Advanced SQL knowledge (ANSI + Snowflake extensions)
• Experience with analytics integrations, pipeline automation, and orchestration
• Strong understanding of data modelling, governance, and performance tuning
• Experience with MLOps / AIOps development (Snowflake ML, Azure ML, Snowflake Cortex AI)
• Proficiency with Python, YAML, Git, Matillion, and modelling tools such as Archimate

Requirements

• Senior-level communication and stakeholder management skills
• Ability to work independently while collaborating across multidisciplinary teams
• Strong leadership, mentoring, and coaching capabilities
• Experience with project planning, risk management, and delivery oversight
• Pragmatic mindset with a focus on optimization and continuous improvement
• SnowPro certification is a plus
• Experience in the energy sector is a plus
• Bachelor's degree in IT is preferred
• All our positions are open to both women and men and are, of course, open to people with disabilities.

Additional Information

We are currently looking for a Senior Data Architect (m/w/d) with strong expertise in Snowflake to join a high-impact data transformation environment. In this role, you will act as a senior sparring partner for architecture, engineering, and product teams, focusing on scalable, secure, and cost-efficient data solutions. You will play a key role in shaping and optimizing enterprise data architecture while ensuring alignment across technologies and business objectives.

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