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This role requires deep expertise in financial services with ESG or Credit risk domain.

This role is focused on the practical design and implementation of our core commercial data products. You will be responsible for modeling complex financial data, pioneering our adoption of Data Mesh and Data Vault 2.0, and leading the technical design of our centralized Credit Risk Data Warehouse.

This is a hands-on role for a data purist who understands the nuances of financial data and has a passion for building robust, scalable, and accurate data products on Snowflake and dbt.

Key Responsibilities:

• Take ownership of data modeling for our centralized Credit Risk Data Mart and Warehouse.
• Pioneer and implement Data Mesh methodologies, promoting domain-oriented data ownership to develop robust data products.
• Design and implement data models using Data Vault 2.0, Star Schema, and Snowflake Schema with transformation pipelines in dbt.
• Lead the evaluation and approval of technical designs within a Technical Design Authority (TDA), ensuring standards are met.
• Work closely with C-level stakeholders and business leaders to translate complex requirements from the credit risk domain into technical solutions.
• Follow the DAMA framework to establish and maintain data architecture principles and governance.

Candidate Profile:

• Extensive background and deep domain expertise in Financial Services, specifically with Credit Risk data.
• Strong, proven, and recent experience implementing data models using Data Vault 2.0 and dbt.
• Has successfully pioneered or been a key leader in a Data Mesh transformation.
• Experience leading or being a key member of a Technical Design Authority (TDA).
• Expertise in building enterprise data platforms on Snowflake.
• Proven ability to collaborate with and influence C-level stakeholders.

NICE TO HAVE:

• Enterprise data architecture using TOGAF and ArchiMate.
• Design and establish a federated governance framework, including standards for data modeling, metadata management, and data product registration.
• Architect enterprise-scale data platforms on Snowflake and Databricks, with a focus on API-first, event-driven, and domain-driven design patterns.

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Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

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