Find Jobs
Find Jobs Near You – Available Work in Your Location
Skip to job details
DI
DiLytics INC.
Role for Lead BI Developer
Career Insights for Business Intelligence Developer / Architect
See where this job fits in the broader career landscape. Knowing your career path helps you see what's possible from here.
Scorecard
Based on California data
Review key factors to help you decide if this role fits your goals. How is this calculated?
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
Job Description
Role for Lead BI Developer DiLytics INC. Sacramento, CA Job Details Contract $60•$75 an hour 17 hours ago Qualifications AI models Data model design Dashboard development Commercial use (data warehousing systems) Cloud analytics services Data visualization software proficiency Data Integration (Data management) Cloud data warehouses Business intelligence report generation Dashboard creation support Enterprise solutions implementation AI platforms (beyond public GPTs) Managing data teams Schema design Snowflake Prompt engineering SQL Technical solutions implementation Production systems ETL process automation Bachelor's degree Natural language processing APIs Query management Implementing IT solutions Generative AI Data analytics technologies Dimensional modeling Full Job Description Lead Developer•
The ideal candidate will have strong experience across data engineering, BI, AI/ML, GenAI, cloud data platforms, semantic modeling and LLM-based analytics , with proven experience delivering production-grade data products. Key Responsibilities Lead a team of analysts and developers in implementing enterprise BI and large-scale data warehouse solutions. Design and deliver production-grade dashboards, data models, APIs and analytics products. Develop and optimize ETL/ELT pipelines and cloud data warehouse solutions. Work with platforms such as Snowflake and Amazon Redshift and orchestration tools including Airflow and dbt . Design advanced SQL queries, data models, semantic layers and dimensional models. Develop and enhance natural-language-to-SQL/query capabilities using OpenAI APIs or similar LLM platforms . Develop prompt strategies and perform prompt engineering for business insights and analytics. Work with BI platforms such as Power BI, Tableau or Looker . Collaborate with business stakeholders to discover, document and implement data warehouse and BI requirements. Provide technical guidance on AI/ML and GenAI implementations. Support development of GenBI and AI-driven analytics capabilities. Provide technical leadership and act as a liaison between stakeholders, developers, vendors and technical support teams. Contribute to solution design, architecture, technical documentation and knowledge transfer. Required Qualifications 12+ years of experience in data/BI engineering or analytics. 5+ years leading teams of at least three members implementing enterprise BI or large data warehouse solutions. 5+ years working with AI/ML or GenAI technologies. Proven delivery of at least two production-grade BI/data products , such as dashboards, data models or APIs. 2+ years of experience with ETL/ELT pipelines, Snowflake, Amazon Redshift and/or orchestration tools such as Airflow/dbt. 2+ years working with OpenAI APIs or comparable LLM platforms. Experience building natural-language-to-SQL/query systems and prompt engineering. 2+ years of advanced SQL, data modeling and semantic-layer experience. Hands-on experience with at least one major BI platform: Power BI, Tableau or Looker . 2+ years leading analysts/developers and working directly with business stakeholders. Preferred Qualifications AWS certification. Snowflake certification. Power BI/Tableau certification. AI/ML or GenAI credentials/coursework. Bachelor's degree in Computer Science, Computer Engineering or a related field. Ability to work onsite 2-3 business days per week in
Data/BI & GenAILocation:
West Sacramento, CAContract:
12 Months (May possible extension)Position Overview We are seeking an experienced Lead Developer•Data/BI & GenAI to lead the design, development, and delivery of enterprise-level Business Intelligence, data warehouse, GenBI and AI/ML solutions. The role will provide technical leadership to analysts and developers while working closely with business stakeholders to translate requirements into scalable data and analytics solutions.The ideal candidate will have strong experience across data engineering, BI, AI/ML, GenAI, cloud data platforms, semantic modeling and LLM-based analytics , with proven experience delivering production-grade data products. Key Responsibilities Lead a team of analysts and developers in implementing enterprise BI and large-scale data warehouse solutions. Design and deliver production-grade dashboards, data models, APIs and analytics products. Develop and optimize ETL/ELT pipelines and cloud data warehouse solutions. Work with platforms such as Snowflake and Amazon Redshift and orchestration tools including Airflow and dbt . Design advanced SQL queries, data models, semantic layers and dimensional models. Develop and enhance natural-language-to-SQL/query capabilities using OpenAI APIs or similar LLM platforms . Develop prompt strategies and perform prompt engineering for business insights and analytics. Work with BI platforms such as Power BI, Tableau or Looker . Collaborate with business stakeholders to discover, document and implement data warehouse and BI requirements. Provide technical guidance on AI/ML and GenAI implementations. Support development of GenBI and AI-driven analytics capabilities. Provide technical leadership and act as a liaison between stakeholders, developers, vendors and technical support teams. Contribute to solution design, architecture, technical documentation and knowledge transfer. Required Qualifications 12+ years of experience in data/BI engineering or analytics. 5+ years leading teams of at least three members implementing enterprise BI or large data warehouse solutions. 5+ years working with AI/ML or GenAI technologies. Proven delivery of at least two production-grade BI/data products , such as dashboards, data models or APIs. 2+ years of experience with ETL/ELT pipelines, Snowflake, Amazon Redshift and/or orchestration tools such as Airflow/dbt. 2+ years working with OpenAI APIs or comparable LLM platforms. Experience building natural-language-to-SQL/query systems and prompt engineering. 2+ years of advanced SQL, data modeling and semantic-layer experience. Hands-on experience with at least one major BI platform: Power BI, Tableau or Looker . 2+ years leading analysts/developers and working directly with business stakeholders. Preferred Qualifications AWS certification. Snowflake certification. Power BI/Tableau certification. AI/ML or GenAI credentials/coursework. Bachelor's degree in Computer Science, Computer Engineering or a related field. Ability to work onsite 2-3 business days per week in