Senior Lead Engineer: Salesforce CRMA/Tableau & AI Analytics

J.P. Morgan

New York (NY)

On-site

USD 180,000 - 250,000

Full time

10 days ago
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Benefits offered by this job

Health, dental, vision coverage
Retirement savings plan
On-site wellness centers
Tuition reimbursement
Mental health support

Job summary

JPMorganChase in New York City seeks a Sr Lead Software Engineer to design and deliver trusted analytics solutions across Salesforce CRMA/Tableau and Tableau ecosystems. You will build data-driven dashboards, data pipelines, and AI-enabled analytics while upholding security, governance, and scalable architecture.

You will mentor engineers and partner with product owners to translate business needs into robust analytics capabilities.

Qualifications

  • 5+ years of Salesforce development and analytics experience.
  • Hands-on with CRMA/Tableau CRM and Tableau.
  • Strong Salesforce data model and integration skills.
  • Experience integrating CRMA/Tableau with Salesforce Lightning pages/apps.
  • Knowledge of secure coding and governance in analytics projects.

Responsibilities

  • Develop end-to-end analytics and data pipelines for CRMA/Tableau and Tableau.
  • Design secure production code and dashboards; ensure performance and governance.
  • Create architecture artifacts for AI-driven analytics applications.
  • Translate business requirements into KPIs, data models and dashboards.
  • Lead AI-assisted engineering practices and promote code quality.
  • Mentor junior developers and foster a collaborative culture.

Skills

Salesforce development
Apex/SOQL
CRMA/Tableau CRM
Tableau dashboards
REST APIs/OAuth2
AI/ML SDLC
Security & governance
Mentoring/leadership
Agile/SDLC tooling

Tools

Tableau
Tableau CRM (CRMA)
Salesforce Lightning Web Components

Job description

JPMorganChase in New York City seeks a Sr Lead Software Engineer to design and deliver trusted analytics solutions across Salesforce CRMA/Tableau and Tableau ecosystems. You will build data-driven dashboards, data pipelines, and AI-enabled analytics while upholding security, governance, and scalable architecture.

You will mentor engineers and partner with product owners to translate business needs into robust analytics capabilities.

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