Snowflake Data Modeller

Luxoft; Greater London; Hybrid; GBP 70,000 - 100,000; Full time

Job summary

Luxoft seeks an experienced Business Analyst/Data Modeller to lead a strategic data warehouse and Snowflake-driven integration programme. You will coordinate across data engineering, architecture, product, and client delivery to ensure on-time, scoped delivery of high quality data solutions.

You will define data models for financial instruments, standardise representations of trades, and drive AI usage within the program while mapping data flows across complex systems.

Qualifications

• Proven experience in complex capital market projects.

Responsibilities

• Delivery alignment between technical delivery and business objectives.
• Define data models for financial instruments and standardised data models.
• Drive AI usage within the program.
• Create a view of upstream/downstream systems and data usage.

Skills

Domain experience

Data architecture

Data modelling

Snowflake

ETL/ELT pipelines

Financial instruments knowledge

SAP knowledge

Agile methodologies

Jira/Confluence

Stakeholder management

XML/fPML formats

Tools

Snowflake

Jira

Confluence

APIs

Job description

Project 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

• Deliveryo Ensure alignment between technical delivery and business objectiveso Define data models for broad range of financial instrumentso Determine the appropriate representation for each trade type and ensure a standardised data model that can be appliedo Drive AI usage within the programo Build a view of the upstream and downstream systems and their required usage of data
• Stakeholder Managemento Act as the primary point of contact for senior stakeholders across technology, product, and client teamso Manage expectations, communicate progress, and elevate risks effectivelyo Facilitate workshops to gather and refine business and data requirements

SKILLS

Must have

• Domain Experienceo Proven experience in complex capital market projectso Experience delivering data warehouse or data platform initiatives
• Data & Technology Awarenesso Solid understanding of modern data architectures, including cloud data warehouses (e.g. Snowflake)o Familiarity with data engineering concepts (ETL/ELT, pipelines, APIs, data modelling)o Ability to engage effectively with architects and engineers without needing to be hands-ono Strong understanding of a broad range of financial instruments across FX, MM, IRD, EQDo Knowledge of SAP
• Delivery Methodologieso Strong experience with Agile methodologies and tooling (e.g., Jira, Confluence)o Ability to operate in hybrid Agile/Waterfall environments where neededo Able to analyse and interrogate data formats such as XML, fPML
• Stakeholder Managemento Excellent communication and influencing skills across technical and non-technical audienceso Experience working with senior stakeholders and clients in a delivery-critical environment

Nice to have

• Financial Services Domaino Experience in asset management, portfolio management systems, or financial data platformsNice to Have
• Experience delivering Snowflake-based platforms specifically
• Familiarity with data governance and regulatory requirements in financial services
• Experience with Murex, or similar platforms
• Relevant certifications (e.g., PRINCE2, PMP, Agile certifications)