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Chase · 1 hour ago

Director of Software Engineering - Data and Analytics Services

600 Travis St, Houston, TX, 77002, US

Full-time

Onsite

Senior Level, Lead/Staff

10+ years exp

Chase is one of the oldest financial institutions, and they are seeking a Director of Software Engineering for their Corporate Data and Analytics Services team. The role involves leading technical areas, driving innovation, and overseeing multiple complex projects while ensuring effective collaboration across departments.

BankingFinancial Services

Responsibilities

Leads technology and process implementations to achieve functional technology objectives

Makes decisions that influence teams’ resources, budget, tactical operations, and the execution and implementation of processes and procedures

Carries governance accountability for coding decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations

Delivers technical solutions that can be leveraged across multiple businesses and domains

Influences peer leaders and senior stakeholders across the business, product, and technology teams

Champions the firm’s culture of diversity, opportunity, inclusion, and respect

Establishes architecture, execution strategy and plans

Sets the overall guidance and expectations for team output, practices, and collaboration

Provides guidance to immediate team of software engineers on daily tasks and activities

Anticipates dependencies with other teams to deliver products and applications in line with business requirements

Qualification

JavaPythonCloud platformsData platform technologiesRESTful micro-servicesSoftware Development Life CycleAgile methodologiesData processingData pipelinesLeadershipCollaborationProblem-solving

Required

Formal training or certification on software engineering concepts and 10+ years applied experience. In addition, 5+ year of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise and more broadly across the organization

Experience leading large feature teams of software engineers to deliver intensive data driven applications

In-depth knowledge and experience in Java and/or Python, with a strong understanding of scripting, automation, and data analysis

Extensive experience with cloud platforms such as AWS, Azure, or Google Cloud, including deployment and management of cloud-based applications

Expertise in data platform technologies, particularly with tools like Databricks, for data processing and analytics

Proficient in all aspects of the Software Development Life Cycle and advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Strong expertise in building RESTful micro-services using Spring Boot applications

Experience in Data technologies handling complex data processing requirements-Data streaming and messaging frameworks (e.g. Kafka, Spark Structured Streaming)

Experience building data pipelines and platforms on AWS

Development experience on private cloud, public cloud (using EC2, S3, RDS, Lambda, EMR, Step functions, Glue), ETLs and Data Pipeline