Data Engineer & Architect

Data Engineer & Architect, Digital Products

The Data Engineer & Architect, Digital Products exists to turn Better Cotton's fragmented organisational data into governed, production-grade data infrastructure. Combining architecture with hands-on delivery, the role defines the target-state lakehouse and then builds the platform, pipelines, data models and controls that make it operational, so that field tools, supply chain systems, traceability, compliance, impact reporting and future AI-enabled services can rely on trusted, reusable data. Responsibilities include building and operating ingestion and ETL/ELT pipelines across field tools, supply chain systems, middleware APIs, legacy systems and partner platforms; designing and owning the target-state lakehouse architecture, enterprise data warehouse, data marts and data models; leading phased extraction and migration of high-volume historical data from legacy systems; establishing platform environments, infrastructure as code, CI/CD, identity, access controls, encryption and audit logging; implementing data catalogue, metadata management, automated lineage and data-quality monitoring; and building trusted, reusable data products for reporting, traceability, compliance, impact measurement and AI/ML use cases. Essential requirements: a degree in Computer Science, Engineering or related field; strong hands-on experience in data engineering, architecture and production data-platform delivery including ETL/ELT pipelines, medallion lakehouse design, data warehouse and data mart design, and migration of large datasets; experience across the Microsoft data ecosystem including Microsoft Fabric, Azure Synapse, Azure Data Lake Storage and Power BI, alongside Databricks and other cloud-native platforms; experience with distributed systems and large-scale data processing; experience with orchestration and transformation tooling such as Databricks Workflows, Apache Airflow, Dagster or dbt; expert SQL and strong Python; experience with Spark/PySpark, Delta Lake and Unity Catalog; fluency in English. The position is full-time, hybrid, based in Delhi or Ahmedabad with travel between the two.

Application closing date: 15th October 2026

HOW TO APPLY

Send CV (2 pages max) and a brief cover letter (1 page max) by or before 15.10.2026 via the application link.

https://ats.rippling.com/en-GB/better-cotton-careers/jobs/c4b578dd-24b0-4035-9403-16a4032ddd26