Data Owner Lead jobs at Jpmorgan in United States, Plano

Job responsibilities

• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives decisions that influence the product design, application functionality, and technical operations and processes
• Serves as a function-wide subject matter expert in one or more areas of focus
• Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
• Influences peers and project decision-makers to consider the use and application of leading-edge technologies
• Adds to the team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on data engineering concepts and 5+ years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s): Java, Python, React, Kotlin, AWS, AI/ML
• Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• Ability to tackle design and functionality problems independently with little to no oversight
• Demonstrate strong leadership skills to effectively guide and motivate teams towards achieving organizational goals
• Practical cloud native experience
• Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field

• AWS Services, Dynamo, MongoDb

Job responsibilities:

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Develops secure high-quality production code, and reviews and debugs code written by others
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads evaluation sessions with external vendors, startups, and internal teams to promote outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
• Leads communities of practice across Software Engineering to promote awareness and use of new and leading-edge technologies
• Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills:

• Formal training or certification on software engineering principles and 5+ years applied experience.
• Hands-on practical experience iOS application development.
• Experience in one or more programming language(s)
• Experience in automation and continuous delivery methods
• Experience in all aspects of the Software Development Life Cycle
• Experience in agile methodologies such as CI/CD, Application Resiliency, and Security
• Experience in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• Proficiency in Swift, SwiftUI, UIKit, CoreData, Combine, and other iOS frameworks.
• Experience working in system design, architectural patterns (MVC, MVVM, VIPER, etc.), and design principles.

Preferred qualifications, capabilities, and skills:

• Knowledge of Cloud technologies (AWS, Firebase, etc.)
• Familiarity with TestFlight, Swift Package Manager, CocoaPods, and dependency management

Job Responsibilities

• Work on some of the most complex problems imaginable at the intersection of two dynamic industries: Finance and AI
• Work with software engineers, data scientists, and Business stakeholders to develop and deliver products that can change the way our clients operate, how we service our clients, and how Banking is done today
• Working with stakeholders across the various businesses (Markets, Operations, Investment Banking, etc.) and functional groups (Legal, Technology, Middle Office, Business Management) to collect business requirements, create PRDs and ship products
• Managing and prioritize initiatives that are requested by stakeholders
• Provide comprehensive updates on product and use case status to senior management and stakeholders
• Maintain a comprehensive understanding of use cases across the MLCOE portfolio, facilitating connections among individuals addressing similar challenges

Required Qualification, capabilities and skills:

• 7+ years of Project Management experience building applications from conception to launch
• Experience capturing and analyzing requirements (internal and external) and ability to build strong partnerships with technical teams
• Experience deploying and managing chatbots with Large Language Models and without
• Able to identify critical requirements and potential gaps by understanding complex and interdependent processes
• Basic understanding of AI/ML concepts through experience or coursework
• Experience with working with engineers and data scientists towards building products is a must-have
• Experience with the end-to-end software engineering development lifecycle
• Excellent verbal and written communication skills
• Ability to work both independently and in highly collaborative team environments

Preferred qualifications, capabilities and skills:

• Experience with JIRA, MS Office suite, and various request ticketing systems
• Experience with agile methodology (running scrums, sprint planning, etc)
• Scrum Master certification a plus
• Prior experience as an AI/ML Project Manager
• GenAI experience is a plus
• Familiarity with data science model development lifecycle (data preparation, model training, etc.)

Job responsibilities:

• Leads technology and process implementations to achieve functional technology objectives.
• 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
• Contribute to the design and implementation of a strategic high-volume, high-resilience data processing systems for surveillance and retention.
• Be part of the Global Technology organization spread across of US and APAC to provide end to end design, build and delivery.
• Work collaboratively to ensure team and organization standards are followed and the team is consistently focused on continuous improvements and sustained delivery.
• Employ simple design and pragmatic implementation techniques to promote business value.
• Pair program with team members to build high-quality solutions.
• Be passionate about technology and constantly seek ways of learning new technology and practices
• Mentor junior team members to progress their technical and professional skills. Be open and actively seeking learn.

Required qualifications, capabilities, and skills:

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Software engineering experience, with firm understanding of various design patterns, cloud native microservices architecture and engineering practices.
• Strong experience working with Java, Spring Boot and Oracle, along with good understanding of Maven build tooling.
• Comfortable in more than two programming languages with a strong understanding of fundamental web/internet technologies.
• Experience with both Private and Public clouds ranging from IaaS to PaaS solutions. Hands on experience with Docker, Kubernetes, AWS EKS and ECS is required.
• Practical experience with unit testing using tools like JUnit or Mockito
• Experience developing or leading cross-functional teams of technologists.
• Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field

Preferred qualifications, capabilities, and skills:

• Proficient in SQL preferably across multiple databases.
• Grafana, Cortex, Kibana, Datadog, Cloudwatch, NuGet, JFrog Artifactory experience preferred.

Job responsibilities:

• Lead the strategic direction and execution of software solutions, encompassing design, development, and technical troubleshooting, with the ability to innovate beyond routine or conventional approaches to build solutions and resolve complex technical challenges.
• Collaborate with product and business teams to develop and execute a multi-year roadmap for platform features.
• Defines database back-up, recovery, and archiving strategy
• Promote the modernization and transformation of the platform, ensuring scalability, security, and performance.
• Oversee the end-to-end development process, including requirements definition, design, implementation, testing, and integration.
• Design & develop data pipelines end to end using Spark SQL, Java and AWS Services. Utilize programming languages like Java, Python, NoSQL databases, SQL, Container Orchestration services including Kubernetes, and a variety of AWS tools and services.
• Develop multi-year roadmaps aligned with business and technology strategies, designing reusable frameworks using new technologies, and setting the vision for future technological advancements.
• Ensure alignment with the firm’s Risk and Control agenda and security standards.
• Provide mentorship and training to new development teams, promoting continuous learning and improvement.
• Creates functional and technical documentation supporting best practices

Required qualifications, capabilities and skills:

• Formal training or certification on Software Engineering concepts and 5+ years applied experience
• Experience in aligning technology roadmap strategy to business goals and executing complex projects.
• Expertise in architecture disciplines and programming languages.
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying language.
• Deep knowledge of design, architecture, data modeling, integration, cloud data services, data domain driven design, best practices, and industry trends in engineering and product development
• Practical experience with AWS, big data technologies, and data engineering disciplines.

Cloud implementation experience with AWS including:

o AWS Data Services: Proficiency in Lake formation, Glue ETL (or) EMR, S3, Glue Catalog, Athena, Kinesis (or) MSK, Airflow (or) Lambda + Step Functions + Event Bridge

o Data De/Serialization: Expertise in at least 2 of the formats: Parquet, Iceberg, AVRO, JSON-LD

o AWS Data Security: Good Understanding of security concepts such as: Lake formation, IAM, Service roles, Encryption, KMS, Secrets Manager

• Proficiency in SQL and different on-prem databases and other cloud native relational databases, e.g. Aurora, Snowflake, Athena, Postgres, Databricks, Iceberg
• Proficiency in automation and continuous delivery methods.

Preferred qualifications, capabilities and skills:

• Strong experience in building highly scalable and high-throughput data platforms.
• Experience with AI/ML technologies
• Proficient in modern technologies such as Kafka streaming, Spark, Python, Java, Cloud, Airflow, Kubernetes
• Must have experience leading teams in an agile environment, with a strong commitment to teamwork and collaboration.ave an experience working in a team, and ability to tackle design and functionality problems independently with little to no oversight
• Familiarity with front-end technologies such as HTML5/CSS3 and JS frameworks (e.g., AngularJS, React, jQuery, Bootstrap).
• Knowledge of testing tools (e.g., JUnit, Selenium, Cucumber) and build/packaging tools (e.g., Jenkins, Maven). Experience with code versioning tools.

As a Lead Data Engineer at JPMorgan Chase within the Consumer and Community Banking , you will be an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way to support the 70K+ employees on our platforms while delivering efficiencies, better planning of workforce and value to the firm. You will be a core technical contributor responsible for maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm’s business objectives. You will deliver innovative data management solutions using Python and AWS.

Job responsibilities

• Provide overall direction, oversight, and coaching for a team of entry-level to mid-level software engineers that work on basic to moderately complex tasks
• Be accountable for decisions that influence teams’ resources, budget, tactical operations, and the execution and implementation of processes and procedures
• Ensures successful collaboration across teams and stakeholders
• Identifies and mitigates issues to execute a book of work while escalating issues as necessary
• Provides input to leadership regarding budget, approach, and technical considerations to improve operational efficiencies and functionality for the team
• Creates a culture of diversity, opportunity, inclusion, and respect for team members and prioritizes diverse representation

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Experience leading teams of technologists
• Hands-on practical experience delivering system design, application development, testing, and operational stability.
• Advanced in one or more programming language(s) Java or Python with Advanced experience in AWS tools (EKS, ECS, RDS, Dynamo, Lambda, Glue) & infrastructure
• Exhibit excellent presentation skills to clearly convey strategies and the utilization of collaboration tools.
• Service Oriented Architect
• Able to drive large scale software implementations.
• Ability to guide and coach teams on approach to achieve goals aligned against a set of strategic initiatives.
• Experience with hiring, developing, and recognizing talent.
• Practical cloud native experience
• Experience in Computer Science, Engineering, Mathematics, or a related field and expertise in technology disciplines.

Preferred qualifications, capabilities, and skills

• Experience working at code level.
• Experience leading teams of technologists.
• In-depth knowledge of the services industry and their IT systems
• Teradata, Data Lakes and AI/ML usage and implementation, design and techniques

Job responsibilities

• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives decisions that influence the product design, application functionality, and technical operations and processes
• Serves as a function-wide subject matter expert in one or more areas of focus
• Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
• Influences peers and project decision-makers to consider the use and application of leading-edge technologies
• Adds to the team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• 2+ years’ experience with Hadoop ecosystem technology stacks as HDFS, HBase, Hive, Pig, Spark, Map Reduce, Cloudera etc.
• Experience in using Eclipse/IntelliJ, Maven, Jenkins, GIT, JIRA, Control M or equivalent tools
• Experience with AWS technologies, Cassandra, Kafka, Scala, Python and/or Java
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s)

Preferred qualifications, capabilities, and skills

• Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• Ability to tackle design and functionality problems independently with little to no oversight
• Practical cloud native experience
• Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field