Data Architect - AI & Modern Data Platforms (Data Architect II)

This role focuses on data architecture strategy and pipeline modernisation, with a particular emphasis on AI-assisted transformation rather than infrastructure or platform engineering., * Define and own end-to-end data architecture, including ingestion, transformation, and consumption layers

• Design and implement scalable data pipelines using PySpark and AWS Glue
• Establish standardised, modular, metadata-driven transformation frameworks
• Lead Snowflake data modelling, including optimisation of the consumption layer
• Ensure alignment with data governance, lineage, and observability standards
• Drive AI-assisted pipeline migration and conversion patterns (no requirement to build AI engines)
• Collaborate with engineering, analytics, and business teams to deliver scalable data solutions

Core Focus Areas

• Data architecture strategy
• Pipeline modernisation
• AI-enabled transformation approaches

Do you have experience in Apache?, * Strong expertise in:

• PySpark
• AWS Glue
• Snowflake
• Apache Airflow

Solid understanding of:

• Data architecture principles
• Data governance and lineage

Experience with:

• AI-assisted workflows / prompt-based tooling
• Modern data transformation patterns

Nice to Have

• Exposure to infrastructure or platform engineering (non-core), pyspark,airflow,data governance,data architecture

UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact-touching billions of lives in the process.