Lead Developer- Data Warehouse, GenBI & AI Solutions

V Group Inc.

West Sacramento (CA)

Hybrid

USD 120,000 - 180,000

Full time

41 hours ago
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Job summary

CalSTRS is seeking a Lead Developer to modernize and enhance its Investment Data Warehouse (IDW) platform while driving GenBI, AI/ML, and Generative AI initiatives. The role leads enterprise data warehousing initiatives, AI-powered analytics, semantic models, and cloud-based data engineering on AWS/Snowflake.

You will steer technical design reviews, CI/CD, and governance, collaborating with stakeholders across analytics, architecture, and IT teams.

Qualifications

  • At least 10 years of experience in data/BI engineering or analytics.
  • At least 5 years leading a team (3+ members) to implement enterprise BI or large data warehouse solutions.
  • At least 5 years experience working with AI/ML or GenAI technologies.
  • At least 2 proven deliveries of production-grade BI or data products (dashboards, data models, APIs).
  • At least 2 years with ETL/ELT pipelines, data warehousing platforms such as Snowflake, Redshift, and orchestration tools (Airflow, dbt, etc.).
  • At least 2 years of experience using OpenAI APIs or similar LLM platforms, building NL-to-SQL/query systems, and prompt engineering.
  • At least 2 years of experience in SQL (advanced joins, window functions), data modeling (star/snowflake), and hands-on with Power BI, Tableau, Looker
  • At least 2 years leading a team of analysts and developers, and collaborating with stakeholders.

Responsibilities

  • Lead development and enhancement of the Investment Data Warehouse platform.
  • Design and implement GenBI, AI/ML, and Generative AI use cases.
  • Develop natural language-to-SQL and AI-assisted analytics solutions.
  • Design semantic models and dimensional data models.
  • Develop dashboards and reporting solutions using BI platforms.
  • Implement prompt engineering strategies and optimize AI model behavior.
  • Collaborate closely with business stakeholders, data analysts, architects, and technical teams.
  • Lead technical design reviews, code reviews, and best-practice adoption.
  • Support CI/CD, monitoring, logging, and cloud infrastructure automation.
  • Provide knowledge transfer to CalSTRS staff and technical teams.
  • Ensure compliance with AI governance, security, and data privacy standards.

Skills

Data/BI engineering
Team leadership
AI/ML / GenAI
OpenAI APIs / LLMs
SQL advanced
ETL/ELT pipelines
Snowflake / Redshift
Airflow / dbt
NL-to-SQL / natural language querying
BI tools (Power BI / Tableau / Looker)

Tools

Snowflake
Amazon Redshift
Airflow
dbt

Job description

Job Title: Lead Developer- Data Warehouse, GenBI & AI Solutions
Duration: 12+ Months
Location: 100 Waterfront Place, West Sacramento, CA 95605 (Hybrid)
Position Type: Contract
Interview Type: In Person or Web Cam
Ceipal ID: SCA_DATA980_IK
Requirement ID: 5805147980
Note: The hybrid working model by working on-site 2-3 days per week at West Sacramento, CA

Description: CalSTRS is seeking an experienced Lead Developer to support the modernization, enhancement, and maintenance of its Investment Data Warehouse (IDW) platform while driving the design and implementation of Generative Business Intelligence (GenBI), Artificial Intelligence (AI), Machine Learning (ML), and Generative AI solutions. The Lead Developer will provide technical leadership for enterprise data warehouse initiatives, AI-powered analytics, natural language querying solutions, semantic models, dashboards, and cloud-based data engineering platforms primarily leveraging AWS and Snowflake technologies. The Lead Developer will provide technical leadership for enterprise data warehouse initiatives, AI-powered analytics, natural language querying solutions, semantic models, dashboards, and cloud-based data engineering platforms primarily leveraging AWS and Snowflake technologies.

Key Responsibilities
  • Lead development and enhancement of the Investment Data Warehouse platform.
  • Design and implement GenBI, AI/ML, and Generative AI use cases.
  • Develop natural language-to-SQL and AI-assisted analytics solutions.
  • Design semantic models and dimensional data models.
  • Develop dashboards and reporting solutions using BI platforms.
  • Implement prompt engineering strategies and optimize AI model behavior.
  • Collaborate closely with business stakeholders, data analysts, architects, and technical teams.
  • Lead technical design reviews, code reviews, and best-practice adoption.
  • Support CI/CD, monitoring, logging, and cloud infrastructure automation.
  • Provide knowledge transfer to CalSTRS staff and technical teams.
  • Ensure compliance with AI governance, security, and data privacy standards.
Required Skills:
  • At least (10) years of experience in data/BI engineering or analytics.
  • At least (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 (5) years of experience working with AI/ML or GenAI technologies.
  • At least (2) proven deliveries of production-grade BI or data products (dashboards, data models, APIs).
  • At least (2) years of experience with ETL/ELT pipelines, data warehousing platforms such as Snowflake, Amazon Redshift, and orchestration tools (Airflow, dbt, etc.)
  • At least (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 (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 (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.
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