Senior Executive Director of Software Engineering, Data Platforms

JPMorgan Chase

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Jersey City, NJ
Posted
11 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $195k
$140k most similar roles pay here $250k

This listing doesn't post a salary. Most similar roles pay $151,000–$238,950.

Based on 240 similar postings.

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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 1117 open roles on FindRole.

Listed pay typically runs $186,160–$215,000 across 7 roles with salary data.

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At a glance

TL;DR · Senior Executive Director of Software Engineering, Data Platforms

As the Senior Executive Director of Software Engineering - Data Platforms | Workforce and Experience Technology (WXT), you will join the Workforce Data and Analytics team to lead multiple technical areas and manage activities across various departments. You will oversee data engineering teams to build modular, auto-repeatable data production factories and scalable architecture solutions for HR and employee experience products. Your daily work involves making strategic decisions on design patterns, SDLC processes, and governance while ensuring high standards for stability, security, and quality. You will utilize a technical stack including Databricks, DBX, PySpark, Spark, AWS, Azure, Terraform, Kafka, Python, Scala, Glue, EMR, and AI Developer Automation Tools. Additionally, you will manage data access via Unity Catalogue and Immuta while leveraging Sigma, Genie, and Tableau SaaS to transform traditional HR functions into modern data offerings.

What does a Software Engineering Director earn?

Median $262275 from 30 postings across 13 companies.

See salary data

What you'll do

  • Build scalable data pipeline and architecture solutions that can be leveraged across multiple business units.
  • Drive the implementation of "as-Code" principles for extraction, transformation, reconciliation, and data quality.
  • Create modular designs and frameworks to build a repeatable data production factory.
  • Lead data engineering scrum teams to achieve functional technology objectives while influencing senior stakeholders.
  • Partner with Product and Architecture teams to make strategic decisions regarding resources, budget, and operations.
  • Execute at the code level for SDLC, design patterns, and engineer upskilling.
  • Modernize data platforms to improve stability, security, cost of ownership, and ease of consumption.
  • Transform traditional HR and employee experience functions into modern, scalable data product offerings.

What we're looking for

  • Formal training or certification in Data Engineering concepts.
  • 12+ years of applied experience in Data Engineering.
  • Experience leading technologists and software engineers to solve complex technical items.
  • Hands-on experience with Databricks, AWS, Azure, Terraform, Kafka, Python/Scala, Glue/EMR, and AI Developer Automation Tools.
  • Experience in Big Data technologies, cloud platforms (AWS S3, GCP), and building data pipelines at internet scale.
  • Experience leading cross-functional teams of technologists and managing talent through hiring and development.
  • Experience leading a product as a Product Owner or Product Manager.
  • Proficiency with BI tools like Sigma, Genie, and Tableau SaaS, and governance tools like Unity Catalogue and Immuta.

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