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MSys

Lead Data & AI/BI Developer - Hybrid

Pay: Not specified

Posted: 3 weeks ago

Location: Sacramento, CA (Hybrid)

Last Updated: 2 weeks ago

Hours: Full-Time

Expires: 9/26/2026

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What they do

A Business Intelligence Developer or Architect develops and builds technology systems that support business intelligence for a company. Identifies software needed for business intelligence analysts; sets up systems for collecting data on business operations, customers or sales.

$120,065 / year median in California

-6% projected decline

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Job Description

Webcam interview
Very long term; initial PO for 1 year and usually goes for 3+ years
Hybrid
Need 3 References

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Job Description:

Responsibilities Lead enterprise-level BI, data warehouse and analytics initiatives. Design and implement GenBI, AI/ML and Generative AI solutions. Lead teams of at least 3 members. Develop production-grade dashboards, data models and APIs. Design ETL/ELT pipelines and data warehouse solutions. Work with Snowflake, Amazon Redshift, Airflow and dbt. Build Natural Language-to-SQL/query solutions using OpenAI or similar LLM APIs. Perform prompt engineering for business insights and analytics. Develop advanced SQL, data models, semantic layers and BI solutions. Collaborate with business stakeholders, analysts and developers. Key Skills Data Engineering / BI Engineering Data Warehousing Gen

AI / AI / ML

OpenAI APIs / LLM Prompt Engineering Natural Language to SQL Advanced SQL Data Modeling Star/Snowflake Schema Semantic Layers Snowflake Amazon Redshift Airflow dbt Power BI / Tableau / Looker API Development Team Leadership Skills 10+ years in data/BI engineering or analytics 5+ years team leadership 5+ years AI/ML/GenAI At least five (5) years of experience in leading a team (at least 3 members) to implement enterprise-level BI and/or large data warehouse solutions. At least five (5) years of experience working with AI/ML or GenAI technologies. At least two (2) proven deliveries of production-grade BI or data products (dashboards, data models, APIs). At least two (2) years of experience with ETL/ELT pipelines, data warehousing platforms such as Snowflake, Amazon Redshift, and orchestration tools (Airflow, dbt, etc.). At least two (2) years of experience using OpenAI APIs or similar LLM platforms, building natural language to SQL/query systems, designing prompt strategies for business insights and analytics, and prompt engineering to guide the platform's system behavior. At least two (2) years of experience in SQL (advanced joins, window functions, performance tuning), data modeling (star/snowflake schemas, semantic layers), and hands-on experience with at least one major BI tool such as Power BI, Tableau, Looker. At least two (2) years of experience leading a team of analysts and developers, as well as collaborating with stakeholders, to discover, document, and implement requirements and stakeholder requests for data warehouse or business intelligence projects. Preferred Certifications / Education AWS Certification Snowflake Certification Power BI or Tableau Certification AI/ML or GenAI coursework/credentials Bachelor's degree in Computer Science, Computer Engineering or related field.