Senior Snowflake Data & AI Platform Engineer

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Skills you'll use

What you'll do

• Design and evolve Snowflake‑native analytical data products.
• Build reusable, governed semantic datasets for positions, transactions, cash, performance, P&L, and risk.
• Leverage Snowflake native capabilities such as Dynamic Tables, Streams and Tasks, Secure Views, RBAC, data sharing, and cost and workload optimization strategies.
• Translate Avaloq Core Platform (ACP) structures into business‑meaningful analytical models.
• Apply modern modeling approaches such as dimensional modeling and medallion or data‑product‑oriented architectures.
• Define consistent metrics, KPIs, and analytical domains reusable across clients.
• Ensure datasets are discoverable, well‑documented, and trustworthy.
• Prepare the platform for enterprise‑grade AI usage.

Who can apply

• Enable AI and advanced analytics use cases using Snowflake Cortex, Snowpark ML, vector search, and document intelligence.
• Focus on AI enablement and operationalization rather than pure data science experimentation.
• Support analytics, intelligence, and automation scenarios across banking domains.
• Act as a senior technical reference for Snowflake within the team.
• Collaborate with Product Managers, Architects, Analysts, and Engineers across locations.
• Support proofs of concept, client onboarding, and production rollouts.
• Drive documentation, standards, and best practices for the data platform.
• Strong, hands‑on experience building Snowflake‑based data platforms.

About Avaloq

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