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Experis Manpower Group

Data Modeling Architect (Banking)

Experis Manpower Group Show all offers
Warszawa
Expires Nov 30, 2026
3 days ago

In short

Data Modeling Architect (Banking) needed for large-scale data initiatives. Responsibilities include designing enterprise data models, defining standards, and supporting data integration. Requires expertise in data modeling (conceptual, logical, physical), relational models, Star/Snowflake schemas, SQL/PL/SQL, Oracle Database, and Data Warehouse/Lake/Mesh concepts. Mostly remote with office visits. B2B contract via Experis.

AI-written summary based on the listing content.

Data Modeling Architect (Banking)

  • Start: ASAP / within 1 month / flexible
  • Work Model: Mostly remote, up to 5 days per month in the Warsaw office
  • Contract Type: B2B via Experis

We are looking for an experienced Data Modeling Architect to support large-scale data initiatives within the banking sector.

Key Requirements:

  • Strong expertise in conceptual, logical, and physical data modeling
  • Experience designing relational data models, Data Warehouses, and Data Marts
  • Deep knowledge of Star Schema and Snowflake Schema
  • Ability to define data modeling standards and assess model quality
  • Advanced SQL and PL/SQL skills
  • Hands-on experience with Oracle Database, query optimization, indexing, partitioning, and data quality management
  • Strong understanding of Data Warehouse, Data Lake, Data Mesh, Data Governance, MDM, Metadata Management, and Data Lineage
  • Experience with ETL/ELT processes, APIs, XML, JSON, batch and real-time integrations
  • Ability to map and integrate data across multiple systems
  • Good understanding of banking data domains, including accounts, transactions, statements, payments, customer data, and regulatory reporting
  • Knowledge of modern data-driven architectures supporting BI, self-service analytics, AI, and Machine Learning
  • Understanding of Data as a Product principles

Responsibilities:

  • Design and maintain enterprise data models and architecture
  • Define data standards, governance principles, and modeling best practices
  • Support data integration and transformation initiatives
  • Collaborate with business and technical stakeholders to deliver scalable data solutions
  • Design reporting and analytical data layers
  • Ensure data quality, consistency, and regulatory compliance
  • Support the organization's Data Driven Banking strategy

What We Offer:

  • B2B contract via Experis
  • Medicover healthcare package
  • Multisport card
  • Group life insurance
Published 2026-10-30
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