Role & Responsibilities
Design and develop Snowflake data models, ELT pipelines, and advanced SQL solutions for Retail Merchandising, Planning & Allocation.
Build and manage Airflow DAGs for batch and near real-time data pipelines.
Design and implement Kafka-based event-driven data integrations.
Collaborate with business, product, and engineering teams to deliver scalable retail data solutions.
Develop architecture artifacts, optimize performance, and troubleshoot production issues.
Ensure data governance, security, data quality, and cost optimization across data platforms.
Work as a hands-on individual contributor with Python, Snowflake, SQL, and cloud technologies.

Preferred Candidate Profile
Candidates with hands-on Retail domain experience in Merchandising, Planning & Allocation are highly preferred. Please apply only if you have relevant Retail experience.
12+ years of experience in Data Engineering/Solution Architecture.
Robust expertise in Snowflake, SQL, Airflow, Kafka, and Python.
Experience with cloud platforms (AWS/Azure/GCP), ETL/Data Integration, Git, and CI/CD.
Excellent stakeholder management, architecture, and problem-solving skills.

📌 Solution Architect Bengaluru (India)
🏢 ALTIMETRIK
📍 India