Snowflake Data Modeller

Luxoft
London, UK
about 1 month ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Confluence JIRA Cloud Database Data Architecture Information Engineering Data Governance Data Infrastructure Extract Transform Load (ETL) Data Warehousing
+4 more
SAP ERP Extensible Markup Language (XML) Murex Snowflake

Job description

We are seeking an experienced Business Analyst/Data Modeller to lead the delivery of a strategic data warehouse and integration programme built on Snowflake. This is a high-impact role responsible for orchestrating a complex, multi-stream initiative that underpins our portfolio management platform used by global asset managers.You will coordinate with cross-functional teams spanning data engineering, architecture, product, and client delivery, ensuring the programme is delivered on time, within scope, and to the highest quality standards. Responsibilities Delivery

Ensure alignment between technical delivery and business objectives

Define data models for broad range of financial instruments

Determine the appropriate representation for each trade type and ensure a standardised data model that can be applied

Drive AI usage within the program

Build a view of the upstream and downstream systems and their required usage of data

Stakeholder Management

Act as the primary point of contact for senior stakeholders across technology, product, and client teams

Manage expectations, communicate progress, and escalate risks effectively

Facilitate workshops to gather and refine business and data requirements

Requirements

Must have

Domain Experience

Proven experience in complex capital market projects

Experience delivering data warehouse or data platform initiatives

Data & Technology Awareness

Solid understanding of modern data architectures, including cloud data warehouses (e.g. Snowflake)

Familiarity with data engineering concepts (ETL/ELT, pipelines, APIs, data modelling)

Ability to engage effectively with architects and engineers without needing to be hands-on

Strong understanding of a broad range of financial instruments across FX, MM, IRD, EQD

Knowledge of SAP

Delivery Methodologies

Strong experience with Agile methodologies and tooling (e.g., Jira, Confluence)

Ability to operate in hybrid Agile/Waterfall environments where needed

Able to analyse and interrogate data formats such as XML, fPML

Stakeholder Management

Excellent communication and influencing skills across technical and non-technical audiences

Experience working with senior stakeholders and clients in a delivery-critical environment

Nice to have

Financial Services Domain

Experience in asset management, portfolio management systems, or financial data platforms

Nice to Have

Experience delivering Snowflake-based platforms specifically

Familiarity with data governance and regulatory requirements in financial services

Experience with Murex, or similar platforms

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