Lead, Enterprise Data Platforms & Salesforce AMS (Hybrid)

Association of American Medical Colleges

United States

Hybrid

USD 120,000 - 160,000

Full time

8 days ago

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Benefits offered by this job

Health benefits
Paid parental leave
Retirement contributions
Hybrid/Remote work across contiguous U
Hybrid/Remote work across contiguous U

Job summary

Association of American Medical Colleges (AAMC) seeks a senior leader to supervise data engineering and Salesforce AMS teams, directing the design, development, and maintenance of enterprise data pipelines, data lakes, and warehouses. The role oversees the Salesforce AMS platform, including configuration, integration, and ongoing optimization.

The ideal candidate holds a Bachelor's in Computer Science or related field (Master's preferred) with 8-10 years of experience and 1-3 years in

Qualifications

  • Bachelor's degree in Computer Science, IT, or related field; Master's preferred.
  • 8-10 years of related work experience and 1-3 years of supervisory experience.
  • Extensive experience with AWS, Glue, DMS, SaaS ETL tools, Oracle, Postgres, S3, Athena, Dynamo, and SDLC.

Responsibilities

  • Supervise, coach, and develop data engineering and Salesforce AMS team members.
  • Direct the design, development, and maintenance of enterprise data pipelines, data lakes, and warehouses.
  • Manage the Salesforce AMS platform, including configuration, integration, and ongoing optimization.

Skills

Leadership
Data engineering
Mentoring

Education

Bachelor's degree in CS/IT or related field

Tools

AWS
Glue
DMS
SaaS ETL tools
Oracle
Postgres
S3
Athena
Dynamo
SDLC

Job description

Association of American Medical Colleges (AAMC) seeks a senior leader to supervise data engineering and Salesforce AMS teams, directing the design, development, and maintenance of enterprise data pipelines, data lakes, and warehouses. The role oversees the Salesforce AMS platform, including configuration, integration, and ongoing optimization.

The ideal candidate holds a Bachelor's in Computer Science or related field (Master's preferred) with 8-10 years of experience and 1-3 years in

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