Senior Snowflake Data & AI Platform Engineer

Key Tasks

Snowflake Analytics & Platform Engineering:

• 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.

Data Semantics & Modeling

• 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.

Governance, Security & Quality
Implement Snowflake‑native governance frameworks including masking policies, row‑level security, object tagging, and access policies. Build data quality, security, and trust into the platform by design.

AI & Advanced Analytics Enablement

• Prepare the platform for enterprise‑grade AI usage.
• 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.

Collaboration & Technical Leadership

• 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.

Must‑Have

• Strong, hands‑on experience building Snowflake‑based data platforms.
• Hands‑on experience with dbt or similar analytics‑engineering tools.
• Proven production track record, not limited to PoCs.
• Excellent SQL skills and strong Python proficiency.
• Deep understanding of analytical data modeling and data semantics.
• Experience integrating enterprise data sources such as Oracle and Kafka.
• Cloud‑native mindset, including CI/CD and automation.
• Fluency in spoken and written English.

Strong Advantages

• Experience in financial services or banking.
• Knowledge of Avaloq Core Platform or similar core banking systems.
• Hands‑on experience with Snowflake Cortex, Native Apps, or Marketplace.
• Experience with data governance and data quality frameworks.
• Ability to think platform‑first with long‑term scalability and reuse in mind.
• 3+ years of experience in fintech or the financial services industry
• Knowledge of the Avaloq Banking Suite
• Familiarity with Oracle Cloud (OCI)

We realize that managing work life balance is a challenge we all face in our daily lives and in order to support with this we are pleased to offer hybrid and flexible working for most of our Avaloqers to maintain work life balance and still continue our fantastic Avaloq culture in our global offices.

In Avaloq we are proud to embrace diversity and understand the success of our business is built on the power of different opinions, we are whole heartedly committed to fostering an equal opportunity environment and inclusive culture where you can be your true authentic self.

We hire, compensate and promote regardless of origin, age, gender identity, sexual orientation or any other fantastic traits that make us all unique, we have done our best to write this advert in an inclusive and neutral way.

Please be aware that we will not accept speculative CV submissions for any of our roles from recruitment agencies, and any unsolicited candidate submissions will be exempt from any payment expectations.

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