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)
🏢 ALTIMETRIK
📍 Bengaluru