Job Description: Lead Software Engineer (Data technologies)

Location: Sandy, UT or Atlanta Georgia or Bay Area , CA

Overview

We are seeking a highly skilled Builder to design and implement AI-driven solutions that scale across cloud data lakes. This role will collaborate closely with engineering and data teams to prototype and productionize data solutions at scale that include document and vector search, and semantic retrieval. This role will advise engineering leadership on technology selection and direction, while ensuring robust, scalable, and well-governed production deployments. This is a hands on role with significant architecture, code contribution and mentoring other builders

Key Responsibilities

• Design and implement AI-driven data solutions that scale across cloud data platforms such as Snowflake or Databricks or BigQuery (anyone one of these)
• Prototype and productionize LLM-based systems for dynamic SQL generation, document search, and semantic retrieval
• Build and maintain vector search capabilities using OpenSearch or similar technologies
• Develop metadata and data catalog layers to enable LLM reasoning and discoverability
• Build reliable, performant, and well-governed data pipelines for AI workloads
• Advise engineering leadership on technology selection and strategic direction aligned with company needs
• Partner with global engineering teams to deliver high-quality AI data solutions in production
• Experience in making Data ready for AI with Semantic layer (Nice to have)

Required Technical Background

• Expertise in large-scale cloud data platforms (Snowflake or Databricks or BigQuery, or equivalent)
• Hands-on experience building LLM-driven workflows for dynamic SQL generation or intelligent data access
• Proficiency in Python and/or Java for AI pipeline development
• Experience with vector search and OpenSearch (or similar) for document and semantic retrieval
• Familiarity with data cataloging or metadata systems such as custom YAML schemas, Atlan, or DataHub
• Strong troubleshooting and debugging skills in production environments.
• High ownership, critical thinking, curiosity, and execution skills with a collaborative mindset for working across global teams

Preferred Qualifications

• Prior experience advising engineering leadership on well-rounded technology selection and direction along with tradeoffs
• Demonstrated ability to design and implement enterprise-grade AI and data solutions.
• Strong learning orientation and enthusiasm for emerging AI and data engineering technologies.
• Ability to work independently and drive execution across distributed teams.

Experience

8 to 12 years in software or Software Engineering, Data Engineering including recent hands-on work with AI systems