Job Summary:
We are looking for an experienced Technical Architect to lead the design and implementation of up-to-date cloud-based data platforms.
The ideal candidate should have robust expertise in Azure and/or AWS, Databricks, Snowflake, contemporary data architecture, and large-scale data engineering.
The candidate will work closely with business stakeholders, architects, and engineering teams to deliver scalable, secure, and high-performance data solutions.
Key Responsibilities
• Design enterprise-scale data lakehouse and data warehouse architectures.
• Define data ingestion, transformation, and serving architecture.
• Lead architecture discussions and technical governance.
• Design scalable ETL/ELT frameworks using Databricks and Snowflake.
• Define best practices for security, performance, CI/CD, and DevOps.
• Guide engineering teams on implementation.
• Collaborate with business, product, and data governance teams.
Must Have Skills :
• Azure or AWS
• Databricks
• Snowflake
• Data Lakehouse Architecture
• PySpark
• SQL
• Data Modelling
• ETL/ELT Architecture
• Performance Optimization
• CI/CD
• Terraform or Infrastructure as Code (preferred)
Preferred
• Insurance domain
• dbt
• Unity Catalog
• Delta Lake
• Iceberg
• Azure Data Factory / AWS Glue
Skills:- azure, Amazon Web Services (AWS), snowflake, databricks, Windows Azure, Microsoft Windows Azure and Snow flake schema