Description

Design and manage scalable data pipelines, warehousing solutions, and cloud infrastructure using Snowflake and AWS.

Lead end-to-end data project lifecycles, including sprint planning, deliverable definition, and timely delivery of cloud data solutions.

Responsibilities

• Design, build, and optimize scalable data pipelines and data warehousing solutions using Snowflake and AWS.
• Lead end-to-end data project lifecycles, manage sprint planning, define deliverables, and ensure timely delivery.
• Utilize AWS services to orchestrate, store, and process large-scale datasets efficiently.
• Act as the primary technical liaison between data engineering teams and business stakeholders to translate requirements into technical roadmaps.

Required Skills

• 5+ years of proven experience managing technical data projects, timelines, and agile delivery.
• Strong hands-on expertise with Snowflake architecture, data modeling, performance tuning, and Snowpipes.
• Proficiency with core AWS services: S3, Lambda, Glue, EC2, and IAM.
• Solid understanding of ETL/ELT workflows, data integration, and SQL.
• Bachelor's degree in a relevant field.
• Exceptional communication skills for presenting to stakeholders and leading video-based team syncs.

Key Skills

Education

Bachelor's degree