Live opening · Posted 4 days ago
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Data Architect — Banking / Core Systems (Oracle FLEXCUBE)
Remote
Share your CV at SANJAY.C@ELITESQUAD.AI
Overview
We are a Nordic data and AI consultancy working with a commercial bank on their on-premise, Oracle-based core banking data environment. We need a Data Architect with real banking experience, ideally on Oracle FLEXCUBE — who deeply understands how a bank's core data is structured, and can guide changes to that structure as new business and reporting requirements come in.
Applications without demonstrable banking or financial-services domain experience will not be considered.
Your job is to understand the existing schema across our core banking systems and evolve it as requirements change — not to build a new platform from scratch. If you haven't personally worked with a core banking system's data before, this isn't the right fit.
What You Will Do
Understand and document the existing on-premise Oracle / FLEXCUBE data schema across the bank's core systems.
Propose and guide changes to that schema as new requirements come in from credit, treasury, finance, audit, and compliance teams — each with its own definitions and reporting obligations that need to be reconciled.
Act as the technical counterpart to the bank's own architecture and compliance functions, explaining how the schema is structured and why.
Support the wider technical team in understanding how core banking data maps to their work, and coach internal staff as part of a longer-term knowledge transfer.
Required
Demonstrable, hands-on experience with Oracle Banking / FLEXCUBE data — you should already know how it structures accounts, transactions, and product data, since you won't have time to learn this from scratch.
Direct experience designing or maintaining data models for a bank, insurer, payments processor, or similarly regulated financial institution.
Ability to speak fluently about how a bank's core systems, products, and reporting obligations actually work. Experience with audit and regulatory reporting requirements and how they shape a data schema.
Strong stakeholder-facing communication in English. Willingness and ability to travel/be onsite with the client.
Nice to Have
Broader data platform experience (Kafka, Spark, Airflow), including on-premise or self-managed deployments.
Exposure to cloud data platforms (Azure or AWS).
MongoDB or unstructured-data experience.
Skills & Expertise
Finance & Accounting | Software Architecture & Design | FLEXCUBE Retail
Work arrangement
Yes
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