Senior AI & Data Platform Lead (Cloud & Analytics)

Dovel Technologies, Inc

McLean (VA)

Hybrid

USD 140,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Medical, Rx, Dental & Vision Insurance
Parental Leave
401(k) Retirement Plan
Life Insurance

Job summary

Guidehouse is seeking a Lead Developer to provide hands-on technical leadership for data engineering, analytics, and AI-enabled solutions in support of large-scale data modernization initiatives.

The role focuses on designing, building, and operationalizing high-quality data and analytics solutions while guiding development teams and collaborating with architects and operations leads. A remote-friendly, hybrid work environment in the DC area is expected.

Qualifications

  • US Citizenship and must be able to obtain and maintain a Federal or DHS Public Trust.
  • Bachelor’s degree is required.
  • 10+ years of experience in data engineering, analytics development, or software development roles.
  • Hands-on experience building data solutions in cloud environments (e.g., AWS and Snowflake).
  • Experience implementing AI solutions using cortex code and cortex suite.
  • Experience with data pipelines, ETL/ELT, and analytics solution development.
  • Experience working in Agile delivery environments.
  • Ability to work in a hybrid environment in the DC area.

Responsibilities

  • Provide hands-on technical leadership for data engineering, analytics, and AI-enabled solutions in support of large-scale data modernization initiatives.
  • Design, build, and operationalize high-quality data and analytics solutions while guiding development teams.
  • Collaborate closely with architects and operations leads to ensure scalable, secure data platforms.

Skills

Cloud data solutions
AI solutions (Cortex)
ETL/ELT pipelines
Analytics development
Agile delivery
Hybrid work in DC area

Education

Bachelor's degree

Tools

AWS
Snowflake
Databricks
Cortex suite

Job description

Guidehouse is seeking a Lead Developer to provide hands-on technical leadership for data engineering, analytics, and AI-enabled solutions in support of large-scale data modernization initiatives.

The role focuses on designing, building, and operationalizing high-quality data and analytics solutions while guiding development teams and collaborating with architects and operations leads. A remote-friendly, hybrid work environment in the DC area is expected.

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