Sr Data Platform Engineer (Snowflake/Terraform)

Key Responsibilities:

Data Pipeline Architecture: Build and optimize large-scale data ingestion pipelines from multiple sources.

Scalability & Performance: Ensure low-latency, high-throughput data processing for real-time and batch workloads.

Cloud Infrastructure: Design and implement cost-effective, scalable data storage solutions.

Automation & Monitoring: Implement observability tools for pipeline health, error handling, and performance tracking.

Security & Compliance: Ensure data encryption, access control, and regulatory compliance in the data platform.

Ideal Candidate Profile:

Strong experience in Snowflake, dbt, and AWS for large-scale data processing.

Expertise in Python, Airflow, and Spark for orchestrating pipelines.

Deep understanding of data architecture principles for real-time and batch workloads.

Hands-on experience with Kafka, Kinesis, or similar streaming technologies.

Ability to work on cloud cost optimizations and infrastructure-as-code (Terraform, CloudFormation).