Senior Lead Software Engineer, Data Software Engineering

JPMorgan Chase

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
New York, NY
Posted
11 days ago
Freshness
Confirmed live 2 days ago

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Salary context

How this pay compares to similar roles

Similar $196k
$126k most similar roles pay here $246k

This listing doesn't post a salary. Most similar roles pay $170,051–$222,000.

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 Lead Software Engineer, Data Software Engineering

As a Senior Lead Software Engineer - Data Software Engineering | Workforce and Experience Technology (WXT), you will join the Employee Platforms team to drive innovation and serve as a decision maker for firmwide HR and employee experience data products. You will lead data engineering initiatives, manage complex designs, and deliver scalable data pipeline and architecture solutions across multiple business units. Your daily work involves building modular, auto-repeatable frameworks for a data production factory while modernizing traditional HR systems into high-quality data offerings. You will utilize a technical stack including Databricks, DBX, PySpark, Spark, Terraform, Kafka, Python, Scala, Glue, and EMR. Additionally, you will leverage AI developer automation tools, BI consumption tools like Sigma and Tableau, and governance platforms such as Unity Catalogue and Immuta to manage large-scale data volumes in cloud environments including AWS, GCP, and Azure.

What you'll do

  • Deliver hands-on data pipeline and architecture solutions that are modular and scalable across multiple business units.
  • Manage the full data production pipeline including extraction, transformation, reconciliation, and quality assurance using "as-Code" principles.
  • Develop automated, repeatable frameworks to build a data production factory and minimize ad hoc data generation.
  • Transform traditional HR and employee experience systems into modern, scalable data products.
  • Make strategic decisions regarding team resources, budget, tactical operations, and technical process implementation.
  • Oversee the software development life cycle (SDLC), design patterns, and the upskilling of engineering staff.
  • Modernize data platforms to improve stability, security, cost efficiency, and ease of consumption.
  • Manage governance for coding decisions, control obligations, and measures of success like maintainability and cost of ownership.

What we're looking for

  • Formal training or certification in software engineering concepts.
  • 5+ years of applied experience solving complex technical items within a domain of expertise.
  • Hands-on data engineering development including coding, testing, and automation.
  • Proficiency in Databricks, DBX, PySpark, Spark, Terraform, Kafka, Python/Scala, Glue, and EMR.
  • Experience with AI Developer Automation Tools and BI consumption tools like Sigma, Genie, or Tableau.
  • Experience with Unity Catalogue and Data Access Governance using Immuta.
  • Experience building data pipelines and platforms in cloud environments including AWS S3, Databricks, GCP, and Azure.
  • Experience handling internet scale volume, big data technologies, and complex data processing requirements.

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