AWS Data Architect - Market Data

Vertus Partners; London; On-site; GBP 70,000 - 120,000; Full time

Job summary

A leading company is seeking an AWS Data Architect to build a next-generation data platform from scratch. This high-impact role involves architectural direction, hands-on development of data pipelines, and collaboration with stakeholders to ensure data governance. The ideal candidate has deep expertise in AWS services, strong programming skills, and a builder's mindset.

Qualifications

• Hands-on expertise in AWS data services such as Glue, Lake Formation, and Athena.
• Strong coding skills in Python and SQL for building data pipelines.
• Proven experience in secure and scalable data architectures.

Responsibilities

• Design and implement end-to-end data architecture on AWS.
• Develop scalable and secure ETL/ELT pipelines using Python and PySpark.
• Drive decisions on data modeling and lakehouse architecture.

Skills

AWS data services

Python

SQL

Data governance

Data architecture

ETL/ELT pipelines

Job description

Contact email:

[e-mail]

Job ref:

ADE/HH/0506_1749721043

Startdate:

ASAP

AWS Data Architect - Market Data

We're seeking a hands-on AWS Data Architect to play a lead role in a high-impact initiative building a next-generation data platform from the ground up. This is a rare greenfield opportunity to architect and engineer cutting-edge solutions that will power critical market data workflows across the business.

As a senior technical leader, you'll not only set the architectural direction but also roll up your sleeves to build and optimize scalable data pipelines using the latest cloud-native tools and frameworks. You'll be instrumental in shaping the technical foundation of our platform, from core design principles to implementation best practices.

What You'll Do:

Design and implement end-to-end data architecture on AWS using tools such as Glue, Lake Formation, and Athena

Develop scalable and secure ETL/ELT pipelines using Python, PySpark, and SQL

Drive decisions on data modeling, lakehouse architecture, and integration strategies with Databricks and Snowflake

Collaborate cross-functionally to embed data governance, quality, and lineage into platform design

Lead technical evaluations of new tools and approaches to evolve the platform's capabilities

Serve as a trusted advisor to engineering and business stakeholders on data strategy and architecture

What You Bring:

Deep, hands-on expertise with AWS data services (Glue, Lake Formation, PySpark, Athena, etc.)

Strong coding skills in Python and SQL for building, testing, and optimizing data pipelines

Proven experience designing secure, scalable, and reliable data architectures in cloud environments

Solid grasp of data governance, quality frameworks, and security best practices

A builder's mindset, comfortable leading architectural decisions and also delivering code in production

Bonus Points For:

Experience with modern platforms like Databricks, Snowflake, or other lakehouse solutions

Familiarity with analytics, ML workflows, or financial market data

Why Join Us?

This is your chance to shape a foundational data platform from day one. If you're looking to make a real architectural impact while staying deeply technical, we want to hear from you.

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