Lead Consultant, Data Architecture

🕒 May 13

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FELD M

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51 - 200 employees

FELD M is an analytics and strategy consulting for marketing in an increasingly digitalized world. In collaboration with our clients we develop sustainable communication, business and product solutions for client acquisition and retention using on-site and off-site contact in combination with offline channels. Our interdisciplinary team - comprising among others, Computer Scientists, Economists, Mathematicians, Media Experts, Sociologists and Philosophers – gives us varied perspectives and multiple ways of thinking to guarantee holistic solutions for complex questions.

📋 Description

• You advise clients up to C-level and translate business objectives into scalable data solutions • You design and evaluate modern data architectures for analytical (business intelligence, forecasting, etc.) as well as operational (automation, recommendation systems, etc.) applications, using both generative and non-generative AI • You take full ownership in projects — from architectural decisions to implementation • As a pre-sales consultant you support our Data Product team and actively shape new projects and client relationships • You actively contribute to the development of our Data Product team and further evolve our solutions and offerings • You mentor team members and share your knowledge

🎯 Requirements

• Broad experience in the data domain and deep expertise in data architectures that enable and scale AI/ML applications • Confident working knowledge of modern data stacks (e.g., Snowflake, BigQuery, Databricks, Kafka, Iceberg, LangChain) • Ability to elicit requirements through workshops and explain complex technical topics clearly • Structured, solution-oriented thinker with an ownership mindset • German (fluent) and strong English skills • Additional experience in data science and enthusiasm for giving presentations and creating content

🏖️ Benefits

• Exciting projects across the entire data value chain — from strategy to implementation • Collaborative, interdisciplinary work with strong team spirit and plenty of room for initiative • Shared leadership: we distribute leadership responsibilities dynamically and in a decentralized way to ensure we make the best decisions • Professional development through learning, coaching, and exposure to different areas • Flexible working hours and location