Description

• Data Architecture & Engineering: Design, build, and optimize scalable data pipelines and data warehousing solutions using Snowflake and AWS.
• Project Management (PM): Lead end-to-end data project lifecycles, manage sprint planning, define deliverables, and ensure timely delivery of cloud data solutions.
• Cloud Management: Utilize AWS services to orchestrate, store, and process large-scale datasets efficiently.
• Cross-Functional Leadership: Act as the primary technical liaison between data engineering teams and business stakeholders to translate requirements into technical roadmaps.

Required Skills & Qualifications

• PM Experience (Must-Have): Proven track record of managing technical data projects, timelines, and agile delivery.
• Snowflake Expertise: Strong hands-on experience with Snowflake architecture, data modeling, performance tuning, and snowpipes.
• AWS Cloud Skills: Proficiency with core AWS services (e.g., S3, Lambda, Glue, EC2, IAM).
• Core Engineering: Solid understanding of ETL/ELT workflows, data integration, and SQL.
• Communication: Exceptional communication skills, comfortable presenting to stakeholders and leading video-based team syncs

Key Skills

Education

Bachelor's degree