Solution Architect

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.
• Strong 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.