Senior Data Engineer & Data Warehouse Architect — Hybrid

Trust in SODA

Zürich

Hybrid

CHF 140,000 - 190,000

Full time

2 days ago
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Job summary

Trust in SODA, a prominent Swiss bank, seeks a Senior Data Engineer / Data Warehouse Architect to own the warehouse architecture in a central Switzerland hybrid role. You will guide the team through modernisation from Data Vault 2.0 on Azure toward a cloud data platform with AI analytics possibilities.

You’ll lead data modeling standards, optimize history and quality, and collaborate with BI teams and stakeholders to deliver robust data solutions.

Qualifications

  • Senior data engineer or DWH architect with proven track record in data platforms.
  • Experience delivering SQL-based data pipelines in production.
  • Ability to lead engineering standards and design reviews.
  • Databricks or Snowflake exposure is a plus.
  • Fluent German language required.

Responsibilities

  • Own the target architecture for the data warehouse and steer key technical decisions.
  • Strengthen and extend the existing Data Vault 2.0 model, focusing on history, data quality and performance.
  • Set and enforce engineering standards, and lead code and design reviews.
  • Develop and tune data pipelines using Azure Data Factory and SQL.
  • Mature CI/CD and automated testing in Azure DevOps.
  • Assess modern platforms (e.g. Databricks, Snowflake) and shape migration paths.
  • Partner with product owners, business stakeholders and BI teams on data initiatives.

Skills

Senior data engineer
DWH architect
SQL (production)
Technical leadership
German language

Tools

Databricks
Snowflake
Azure Data Factory
Azure DevOps

Job description

Trust in SODA, a prominent Swiss bank, seeks a Senior Data Engineer / Data Warehouse Architect to own the warehouse architecture in a central Switzerland hybrid role. You will guide the team through modernisation from Data Vault 2.0 on Azure toward a cloud data platform with AI analytics possibilities.

You’ll lead data modeling standards, optimize history and quality, and collaborate with BI teams and stakeholders to deliver robust data solutions.

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