Senior Lead Data Engineer - HR Data Platforms

JPMorgan Chase & Co.

New York (NY)

On-site

USD 150,000 - 230,000

Full time

11 days ago
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Job summary

JPMorgan Chase & Co. in New York seeks a Senior Lead Software Engineer to lead data engineering and drive data product offerings across HR and Employee Experience. You will guide architecture, coding, and product-minded delivery to enable scalable data platforms.

You will partner with product and architecture teams to steer SDLC, governance, and upskilling engineers while delivering TDQ/BDQ improvements and secure data pipelines in cloud environments (AWS, Databricks, GCP, Azure).

Qualifications

  • Formal training or certification on software engineering concepts and 5+ years applied experience anticipate and solve complex technical items within your domain of expertise.
  • Hands-on Data Engineering development, coding, AI-code tools and techniques, testing, automation
  • Key Technical Skills: Databricks, DBX, PySpark, Spark, Terraform, Kafka, Python/Scala, Glue/EMR
  • Experience with AI Developer Automation Tools and BI Consumption tools such as Sigma, Genie, Tableau
  • Experience with Governance using Unity Catalogue and Data Access Governance with Immuta
  • Experience in cross-functional teams of technologists
  • Experience dealing with internet scale volume and size of data
  • Experience in Big Data technologies handling complex data processing requirements
  • Experience building data pipelines and platforms in cloud (AWS S3, Databricks, GCP, Azure)

Responsibilities

  • Provide hands on delivery of data pipeline and architecture solutions that can be leveraged across multiple businesses that are easily augmented, exchanged, rotated, etc.
  • Be proficient in all aspects of the data production pipeline are driven by x-as-Code (extraction, transformation, reconciliation, data quality (business, technical), security).
  • Bring trends in both test-driven and data-driven development building modular designs that can be auto-repeatable as frameworks to build a data production factory, minimizing ad hoc data generation.
  • Transform traditional HR/EX into modern data product offerings that scales for business needs.
  • Perform as a key member of data engineering scrum teams to achieve functional technology objectives. while influencing peer leaders and senior stakeholders across the business, product, and data technology teams.
  • Partner with Product and Architecture to make strategic decisions that influence teams’ resources, budget, tactical operations, and the implementation of processes and procedures.
  • Be accountable for SDLC, design patterns and upskilling engineers
  • Uplift and modernize data platforms driving Stability, Timeliness, Completeness, Quality (TDQ/BDQ), Security, FinOps, Operational Excellence and Ease of consumption.
  • Carry governance accountability for coding decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations.
  • Advance and support the firm’s culture of diversity, opportunity, inclusion, and respect

Skills

Databricks
DBX
PySpark
Spark
Terraform
Kafka
Python/Scala
Glue/EMR
AI code tools
Testing
Automation

Tools

Sigma
Genie
Tableau
Unity Catalogue
Immuta

Job description

JPMorgan Chase & Co. in New York seeks a Senior Lead Software Engineer to lead data engineering and drive data product offerings across HR and Employee Experience. You will guide architecture, coding, and product-minded delivery to enable scalable data platforms.

You will partner with product and architecture teams to steer SDLC, governance, and upskilling engineers while delivering TDQ/BDQ improvements and secure data pipelines in cloud environments (AWS, Databricks, GCP, Azure).

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