Senior Data & Analytics Architect — AI & BI Leader

HCVT

Denver (CO)

Hybrid

USD 123,000 - 150,000

Full time

7 days ago
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Benefits offered by this job

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Job summary

HCVT is seeking a Senior Data & Analytics Specialist to design and advance the firm’s enterprise data platform, pipelines, and analytics capabilities. You will build scalable ETL/ELT processes, data models, and governance frameworks to support reporting, analytics, and AI initiatives.

The role involves creating executive dashboards with Power BI, applying ML techniques, and delivering AI-ready data assets while collaborating with business and tech leaders to drive efficiency and informed

Qualifications

  • Degree in a technical field and 5+ years in data engineering/analytics.
  • Strong SQL and Python skills for data transformation and analytics development.
  • Experience with data warehouses, data lakes, ETL/ELT, and governance.

Responsibilities

  • Design and maintain enterprise data platform, warehouses, lakes, and pipelines.
  • Develop dashboards, KPIs, and self-service analytics for executives.
  • Apply predictive modelling and ML to improve business outcomes.
  • Develop AI-ready data assets and semantic models for AI initiatives.
  • Provide technical leadership and promote data engineering best practices.

Skills

SQL
Python
Data engineering
Data analytics
Machine learning
ETL/ELT
Power BI
CI/CD
Data governance
Communication

Education

Bachelor's degree in Computer Science, Data Science, Analytics, Engineering, or related field
Master’s degree (preferred)

Tools

Microsoft Fabric
Azure Data Platform
Power BI
Vector databases

Job description

HCVT is seeking a Senior Data & Analytics Specialist to design and advance the firm’s enterprise data platform, pipelines, and analytics capabilities. You will build scalable ETL/ELT processes, data models, and governance frameworks to support reporting, analytics, and AI initiatives.

The role involves creating executive dashboards with Power BI, applying ML techniques, and delivering AI-ready data assets while collaborating with business and tech leaders to drive efficiency and informed

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