Description

Architect and implement enterprise data strategies across AWS, GCP, and Azure, with deep hands-on expertise in Snowflake.

Responsibilities

• Define and manage end-to-end data architecture, from platform selection and technical design to testing and implementation.
• Develop organizational data strategies aligned with business processes, including data model designs and database development standards.
• Identify internal and external data sources and create management plans that support the overall data strategy.
• Lead presales activities, leveraging strong communication and presentation skills to articulate technical solutions to stakeholders.
• Coordinate with cross-functional teams, vendors, and stakeholders to ensure the smooth functioning of enterprise data systems.

Required Skills

• 5+ years of experience in data architecture and data engineering.
• Hands-on experience architecting solutions in Snowflake.
• Strong knowledge of the data and analytics landscape, including emerging areas and concepts.
• Proficiency across three hyperscalers: AWS, GCP, and Azure.
• Experience with big data solutions, including Hadoop lifecycle management.
• Proven track record in data strategy development and data warehouse implementation.
• Ability to integrate technical functionality while ensuring data accessibility, accuracy, and security.

Key Skills

Education

Any Graduate