Data architect consultant - Core Banking

Colombus Consulting

Lausanne

Vor Ort

CHF 140.000 - 180.000

Vollzeit

Vor 2 Tagen
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Zusammenfassung

Colombus Consulting in Lausanne is seeking a Data Architect – Banking to define data strategy, governance and architecture for major banking clients. You will design data platforms and processes, align with core banking transformations and oversee data-driven modernization.

The role demands deep knowledge of Temenos Core Banking, data modelling, data governance, and cloud analytics (Azure/Data Lake/Databricks).

Qualifikationen

  • Experience designing data architectures for banking, governance and data platforms.
  • Knowledge of Core Banking data models, Temenos T24/Transact and PMS.
  • Experience with Azure Data Lake/Synapse and Databricks for analytics.

Aufgaben

  • Define data strategy, vision and architecture for banking clients.
  • Design processes and solutions to improve banking operations.
  • Manage projects and roadmaps for Core Banking transformation and data strategy.
  • Define guidelines for managing data across the organisation, particularly Core Banking data.
  • Implement new data solutions (Data Hub, Analytics, PMS) with ROI focus.

Kenntnisse

Data architecture in banking
Temenos Core Banking
Data modelling (Kimball etc)
Azure Data Platform
SQL
Data governance
APIs / event-driven architecture
Leadership / project management
CI/CD practices
AI-assisted design

Jobbeschreibung

As a Data Architect – Banking, your main roles and responsibilities will cover various activities and engagements such as:

  • Work with our Clients (major banking groups) to define their data strategy, vision, needs and architecture
  • Design relevant and efficient processes and solutions to serve and improve their banking operations
  • Manage projects and roadmap to support the Core Banking transformation and data strategy
  • Define guidelines for managing data across the organisation, in particular around Core Banking data
  • Implement new data solutions (Data Hub, Analytics, PMS…) in a strong ROI approach
SKILLS
  • Knowledge of best practices (organization, processes, solutions) in Data Architecture within the banking sector
  • Define the Data architecture within the framework of the various activities around Data Governance and the Data Platform (Integration, Management and Transformation)
  • Strong knowledge of Core Banking systems, ideally Temenos (T24/Transact) PMS (Portfolio Management System), including its data model, parametrization and integration flows
  • Design canonical models by consolidating the various business & IT needs, including Core Banking, Payments, Risk and Finance domains
  • Data modelling expertise: dimension vs. fact classification, SCD1/SCD2/snapshot strategies, natural business key selection, grain definition — ideally with exposure to a dimensional modelling methodology (Kimball or similar)
  • Implementing patterns related to data security in partnership with the CISO
  • Ensure data interoperability between Core Banking (Temenos) and the different systems of the company, including via APIs and event-driven architecture (Kafka, Enterprise Integration Patterns)
  • Support Data Stewards and Data Engineers in data mapping and transformation activities, particularly on Temenos/Core Banking data flows
  • Analytics & Data Platform: experience with Microsoft Azure (Data Lake, Synapse, Power BI service…) and/or Databricks (Unity Catalog, Delta Lake, PySpark)
  • Hands-on experience (SQL) and can-do attitude
  • Data Hub: MDM, Anonymisation, Data Quality (completeness, uniqueness, validity, referential integrity…)
  • Familiarity with CI/CD practices (e.g. Azure DevOps) and configuration/declarative-driven data pipeline patterns
  • Practical, critical use of AI-based tools (including vibe coding / natural-language driven development) to accelerate design, documentation and analysis
  • Strong project Management experience (Agile / Waterfall), ideally within Core Banking implementation or migration projects
  • Strong knowledge of Functional, IT and Data architecture best practices in the banking industry
  • Communication and presentation skills (especially with Business & IT managers)
  • Leadership, Rigorousness and Autonomy

ONLY SHORT LISTED CANDIDATES WILL BE CONTACTED

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