hackajob · 13 hours ago
Senior Executive Director of Software Engineering - Data Platforms | Workforce and Experience Technology (WXT)
hackajob is collaborating with J.P. Morgan to connect them with exceptional tech professionals for this role. As a Senior Director of Software Engineering at JPMorganChase, you will lead multiple technical areas within the Workforce Experience Technology team, driving the adoption of innovative data solutions and managing cross-functional teams to enhance data product offerings.
Artificial Intelligence (AI)Generative AIHuman ResourcesRecruitingSoftware
Responsibilities
Builds data pipeline and architecture solutions that can be leveraged across multiple businesses that are easily augmented, exchanged, rotated, etc
Champions proficiency in all aspects of the data production pipeline ensuring they are driven by x-as-Code (extraction, transformation, reconciliation, data quality (business, technical), security)
Utilizes best practice trends in both test-driven and data-driven development
Creates modular designs that can be auto repeatable as frameworks to build a data production factory, minimizing ad hoc data generation
Leads data engineering scrum teams to achieve functional technology objectives while influencing peer leaders and senior stakeholders across the business, product, and data technology teams
Partners with Product and Architecture to make strategic decisions that influence teams’ resources, budget, tactical operations, and the implementation of processes and procedures
Executes at code level accountability for SDLC, design patterns and upskilling engineers
Uplifts and modernizes data platforms driving Stability, Timeliness, Completeness, Quality (TDQ/BDQ), Security, FinOps, Operational Excellence and Ease of consumption
Carries governance accountability for coding decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations
Champions the firm’s culture of diversity, equity, inclusion, and respect
Transforms traditional HR/EX into modern data product offerings that scales for business needs
Qualification
Required
Formal training or certification on Data Engineering concepts and 12+ years applied experience
8+ years of experience leading technologists and software engineers to manage, anticipate and solve complex technical items within your domain of expertise
Hands-on Data Engineering development, testing, automation
Practical experience with the following key technical skills including Databricks, DBX, PySpark, Spark, Cloud Providers: Databricks, AWS, Azure, Terraform, Kafka, Python/Scala, Glue/EMR, AI Developer Automation Tools (Unit Test)
BI Consumption with tools such as: Sigma, Genie, Tableau SaaS
Ability to manage governance with Unity Catalogue and Data Access with Immuta
Experience developing and leading cross-functional teams of technologists
Experience dealing with internet scale volume and size of data
Experience hiring, developing, and recognizing talent
Experience leading a product as a Product Owner or Product Manager
Experience in Big Data technologies handling complex data processing requirements
Experience building data pipelines and platforms in cloud (AWS S3, Databricks, GCP, Azure)
Preferred
Experience working hands-on at code level
Prior Financial Services experience is preferred
Benefits
Comprehensive health care coverage
On-site health and wellness centers
A retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching
Company
hackajob
The AI-native tech hiring platform trusted by enterprises, scale-ups, and 1M+ tech professionals worldwide.
Funding
Current Stage
Growth StageTotal Funding
$33MKey Investors
Volition CapitalDowning VenturesTechstars
2023-05-03Series B· $25M
2018-10-25Series A· $6.7M
2017-03-31Seed· $0.58M
Recent News
2025-10-23
2025-09-26
2025-09-12
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