About the Role :

We are looking for an experienced Big Data Architect with 12 - 19 years of experience in architecting and solutioning Snowflake, AWS, Big Data and Data Warehouse platforms.

The candidate should have strong expertise in Snowflake, Spark/PySpark, Python/Scala, AWS ecosystem and modern data engineering.

Experience in secure data sharing, data clean rooms, Snowflake Cortex/GenAI, real-time and batch ingestion, legacy migration and scalable cloud architectures is preferred.

Responsibilities :

- Lead requirement gathering, solution design and technical architecture for Big Data and Snowflake projects.

- Create HLD/LLD, frameworks and reusable solutions, guide POCs and key architecture decisions, and lead technical teams through the project lifecycle.

- Collaborate with clients, architects and BA teams, review code, define standards, validate designs and ensure scalable, secure and cost-effective solutions.

Tech Stack :

- Cloud : AWS S3, EC2, Lambda

- Data Platform : Snowflake, Snowflake Cortex

- Big Data : Spark, PySpark, Hadoop, Hive, HBase, Pig

- Programming : Python, Scala, SQL, Java

- Data Streaming/Ingestion : Kafka, NiFi, Airflow