Data Architect (AWS, Medalliion Architecture)

Overview

Lead end-to-end data architecture design and implementation on AWS using Medallion Architecture. Responsible for building scalable data models across multiple business domains, ensuring data quality, and aligning with enterprise strategy. Oversee data pipelines, team delivery, and stakeholder communication.

What You'll Do7

• 1Own end-to-end data architecture across Medallion layers (Bronze/Silver/Gold) on AWS
• 2Design atomic star schema data models (fact and dimension tables) across multiple business domains
• 3Define and implement aggregation and KPI layers aligned to business reporting requirements
• 4Establish data modelling standards, naming conventions, and design patterns across teams
• 5Write and review SQL, Python, and Spark code for pipelines and transformations
• 6Build and validate data models in Snowflake or Databricks
• 7Lead and unblock data engineers and analysts on day-to-day delivery

Requirements8

• 18+ years of experience in Data Engineering / Data Architecture with large-scale analytics transformation programmes
• 2Strong hands-on experience designing and implementing Medallion Architecture on AWS-based data platforms
• 3Strong hands-on experience with Snowflake or Databricks including data modelling, performance optimization, and transformation pipelines
• 4Strong expertise in advanced SQL including complex joins, CTEs, window functions, and query optimization
• 5Hands-on development experience with Python and Apache Spark/PySpark for large-scale data transformation
• 6Experience with AWS data services (S3, Glue, Athena) and cloud-native analytics/data lake architectures
• 7Experience in end-to-end ETL/ELT pipeline development including ingestion, transformation, reconciliation, validation, and production support
• 8Experience working across transaction-heavy enterprise domains such as Finance, Supply Chain, HR, Customer, or Operations

Who Should Apply

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