Lead Analytics Engineer (f/m/d) - Modern Data Stack & AI Readiness

About

You are the strategic architect of our company-wide single source of truth. As Lead Analytics Engineer (m/f/d) at FTAPI, you will take end-to-end responsibility for our Modern Data Stack. You transform complex raw data into high-performance Golden Tables, act as the bridge between Finance, Rev Ops, and Product, and prepare our data infrastructure for future GenAI use cases.

Responsibilities

• Infrastructure Ownership: You take end-to-end responsibility for our Modern Data Stack – from data integration to the semantic layer, primarily within Snowflake.
• Single Source of Truth (SSOT): You develop and design our cross-departmental Golden Tables. Your clear goal: Zero Metric Drift for all stakeholders.
• Vendor Management & Technical Lead: You manage external Data Engineers, provide precise technical specifications, and ensure high quality through rigorous code reviews.
• Data Democratization: You empower decentralized Data Champions within the business departments to independently create dashboards (e.g. in Metabase) and perform self-service data analysis.
• AI Readiness: You enhance our central data models with semantic metadata, thereby ensuring their structured and future‑proof use for LLMs and AI applications.
• Collaboration: You work closely with our Product Data Scientist to create a clean data foundation for ML models and data‑driven product features.

Qualifications

• You have 5+ years of experience in Data Engineering, Analytics Engineering, or modern BI, including 2–3 years of hands‑on experience with the Modern Data Stack (especially Snowflake).
• You have a proven track record of leading architecture or data projects from a functional perspective, as well as managing external service providers/vendors.
• You are a “bridge builder” and have a strong intuition for translating business problems and ambiguous requirements into standardized and scalable data models.
• Strict software engineering practices (Git version control, CI/CD, automated testing, etc.) are second nature to you.
• You speak English fluently; German language skills and relevant certifications (e.g., Snow Pro Core) are considered a plus.