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Chase · 16 hours ago

Senior Executive Director of Software Engineering - Data Platforms | Workforce and Experience Technology (WXT)

277 Park Ave, New York, NY, 10172, US

Full-time

Onsite

Lead/Staff, Director/Executive

$233K/yr - $325K/yr

12+ years exp

Chase is one of the oldest financial institutions, offering innovative financial solutions to millions of consumers and businesses. As a Senior Executive Director of Software Engineering, you will lead multiple technical areas, manage activities across departments, and drive the adoption of data solutions within the Workforce Experience Technology team.

BankingFinancial Services

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

Data EngineeringCloud ProvidersBig Data technologiesDatabricksPython/ScalaData GovernanceBI ToolsProduct ManagementTalent DevelopmentTeam Leadership

Required

Formal training or certification on Data Engineering concepts and 12+ years applied experience. In addition, 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)