Posted on: 11/06/2026
Job Description :
About the Role :
We are looking for a strong Data Architect with deep expertise in AWS-based analytics platforms, Medallion Architecture, and large-scale enterprise data transformation programs.
The ideal candidate should have hands-on experience building scalable data models, ETL/ELT pipelines, and cloud-native analytics solutions using Snowflake or Databricks.
Key Responsibilities :
- Design and own end-to-end data architecture across Bronze, Silver, and Gold layers
- Build scalable star schema data models across multiple business domains
- Develop and optimize ETL/ELT pipelines using Python, Spark/PySpark, SQL, and AWS services
- Build and maintain data pipelines on Snowflake or Databricks
- Ensure data quality, reconciliation, validation, and governance across data layers
- Translate business requirements into scalable technical data models
- Define data modelling standards, naming conventions, and design patterns
- Lead end-to-end SDLC from requirement gathering to deployment and support
- Collaborate with engineering, analytics, and business teams to deliver trusted data solutions
- Track execution, dependencies, and delivery milestones across projects
Required Skills & Experience:
- 8+ years of experience in Data Engineering / Data Architecture
- Strong hands-on experience with Medallion Architecture on AWS
- Expertise in Snowflake or Databricks
- Advanced SQL skills including query optimization and performance tuning
- Strong experience with Python, Spark, and PySpark
- Experience with AWS services such as S3, Glue, and Athena
- Hands-on experience building enterprise-scale ETL/ELT pipelines
- Experience working with Finance, Supply Chain, HR, Customer, or Operations datasets
- Strong stakeholder communication and problem-solving skills
Good to Have :
- Experience with SAP, Oracle, Salesforce, or enterprise ERP systems
- Familiarity with APQC, SCOR, or enterprise process modelling frameworks
Additional Information :
- Only immediate joiners or candidates who can join within 15 days will be considered
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Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1644149