Salesforce CRMA Tableau Senior Lead Software Engineer

JPMorgan Chase

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Jersey City, NJNew York, NY
Employment
Full-time
Posted
49 days ago
Freshness
Confirmed live today

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Salary context

How this pay compares to similar roles

Similar $189k
$133k $240k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $161,425–$217,462.

Based on 240 similar postings.

Employer

About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 1226 open roles on FindRole.

Listed pay typically runs $156,750–$215,000 across 5 roles with salary data.

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At a glance

TL;DR · Salesforce CRMA Tableau Senior Lead Software Engineer

As a Salesforce CRMA Tableau Sr Lead Software Engineer within Consumer and Community Banking, you will join an agile team to design and deliver secure, scalable technology products. You are responsible for executing end-to-end software and analytics solutions, including developing production code, data pipelines, and analytics assets like dashboards, lenses, and recipes. You will build complex analytics and AI-driven applications, translating business requirements into robust data models and KPIs. Your core toolkit includes Salesforce CRM Analytics, Tableau, Apex, SOQL, Lightning Web Components, and REST APIs. You will also drive AI-assisted engineering practices and mentor junior developers. This role solves technical problems regarding data quality, performance, and user experience by integrating diverse datasets into seamless Salesforce experiences while ensuring adherence to security and governance constraints.

What you'll do

  • Design and develop secure production code, data pipelines, and analytics assets for Salesforce CRM Analytics and Tableau.
  • Produce architecture and design artifacts for complex analytics and AI-driven applications while meeting performance and security constraints.
  • Develop advanced visualizations and dashboards from large datasets to improve business processes and customer insights.
  • Drive the adoption of AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes.
  • Translate business requirements into robust analytics solutions, including KPIs, data models, and AI-driven recommendations.
  • Identify and remediate hidden problems in data quality, dashboard performance, and system integrations.
  • Mentor junior developers on Salesforce development, CRMA/Tableau, and AI-enabled analytics solutions.

What we're looking for

  • Formal training or certification in software engineering concepts and 5+ years of experience in Salesforce development and/or analytics.
  • Significant hands-on experience with Salesforce CRM Analytics (CRMA/Tableau CRM) and/or Tableau.
  • Strong experience designing and optimizing CRMA/Tableau dashboards, datasets, dataflows, recipes, and security predicates in a corporate environment.
  • In-depth knowledge of the Salesforce data model and designing analytics-ready data structures and transformations.
  • Proficiency in Apex, SOQL, and Salesforce configuration to support analytics use cases and Lightning page integrations.
  • Experience building Salesforce Lightning UI and Lightning Web Components (LWC) to embed dashboards and components.
  • Experience designing connectivity solutions and integrations including REST APIs, messaging, ETL/ELT, and OAuth2 authentication.
  • Demonstrated experience with AI/ML SDLC, including leading the use of enterprise-authorized AI-assisted software development tools.
  • Salesforce certifications such as CRM Analytics and Discovery Consultant, Platform Developer I/II, or Administrator (preferred).
  • Experience with Tableau Desktop/Server/Cloud, including advanced calculations and performance tuning (preferred).
  • Familiarity with JavaScript, TypeScript, or React for extending analytics experiences and custom UI components (preferred).
  • Exposure to cloud platforms (AWS, Azure, GCP) and experience working with MLOps or data science teams (preferred).

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