AWS Data Architect - Market Data

ZipRecruiter; London; On-site; GBP 80,000 - 120,000; Full time

Job summary

A leading tech company seeks an AWS Data Architect to design a next-gen data platform. You'll shape architectural decisions and build scalable data pipelines while collaborating with cross-functional teams. This role offers a unique opportunity to influence critical market data workflows and implement best practices in data governance.

Qualifications

• Hands-on expertise with AWS services like Glue, Lake Formation, and Athena.
• Strong coding skills in Python and SQL for building, testing, and optimizing data pipelines.
• Proven experience designing secure, scalable, and reliable data architectures.

Responsibilities

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

Skills

AWS data services

Python

SQL

ETL/ELT pipelines

Data governance

Job description

Job Description

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- 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- 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:

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  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

  
  




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

  
  




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

  
  

What You Bring:

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  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

  
  




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

  
  




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

  
  

Bonus Points For:

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

  
  




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  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.