Description

You will own the design, architecture, and delivery of large-scale data and AI solutions, bridging technical execution with business strategy.

This role is remote.

Responsibilities

• Architect and implement complex data pipelines and AI/Generative AI tools using cloud-native technologies.
• Mentor data engineers, establish best practices, and conduct code reviews to ensure technical excellence.
• Develop roadmaps that align architectural capabilities with organizational data challenges and customer needs.
• Facilitate cross-functional collaboration to mature strategic solution ideas and deliver customer-facing support.
• Build data-driven solutions that improve business insights, operational decisions, and performance management.

Required Skills

• 10+ years of IT experience, including design and implementation of large-scale data architectures.
• 5+ years of experience evaluating, architecting, and building AI and Generative AI tools.
• Strong knowledge of Data Management, Data Warehousing, and Big Data concepts.
• Hands-on experience with Azure and AWS cloud-native data and AI technologies.
• Proficiency with Databricks, Snowflake, Palantir, and other large data platforms.
• Ability to obtain and maintain a Client EOD Public Trust clearance.
• Bachelor's degree or equivalent experience in a relevant technical field.

Preferred Skills

• Experience with Python, Django, Flask, Java, PostgreSQL, Vector, NiFi, and Bash scripting.
• Proven success in consulting, advising customers, and vetting new big data technologies.

Key Skills

Education

Any Graduate