JPMorgan Chase
Dallas-Fort Worth, TX

Cloud & Big Data Solution Delivery Lead at JPMorgan Chase

| Dallas-Fort Worth, TX
Sorry, this job was removed at 2:13 p.m. (CST) on Thursday, January 20, 2022
Find out who's hiring in Dallas, TX.
See all Data + Analytics jobs in Dallas, TX
Apply Now
By clicking continue you agree to Built In’s Privacy Policy and Terms of Use.
Job Description The Finance, Risk, Data and Controls (FRDC) organization builds applications and provides technology solutions for corporate functions across JPMorgan Chase, including Global Finance, Corporate Treasury and Risk Management.
FRDC teams are aligned with corporate partners' evolving technology needs and the firm's ever-expanding technology controls agenda.
A top FRDC priority is building scalable corporate systems. Teams focus on:
  • Functional ownership in Finance Technology, specifically leading the implementation of Financial and Regulatory reporting functions onto the Corporate Technology Data Lake and leveraging Platform Services / Finance-as-a-Service to perform data management.
  • Advancing the firm's Roadmap programs - Single Sourcing of Data, Architecture Convergence and Rationalization of Platforms.
  • Adopting industry leading technologies to support best-in-class business capabilities for high performance computation and data storage solutions.
  • Driving innovation across the firm's corporate technology portfolio, increasing efficiencies through process automation and Agile application development, with an emphasis on user experience and shorter development cycles

As a key member of the Finance Tech Engineering & Architecture team, you will be responsible for designing, building and advising on the delivery of scalable cloud-native foundational data solutions.
  • In this role, you will work closely with a world class team of architects and delivery leads to deliver cloud-native data capabilities that will be used to inform key business decisions
  • You will design strategically while building applications that solve for real-world use cases. You will create logical designs, describe the deployment of the designs on a physical platform then build MVPs based on articulated designs, recognizing alternatives and proposing choices throughout the process.
  • Working with architects and delivery leads, you will develop engineering designs, best practices, guidelines and procedures, as well as repeatable and scalable frameworks to successfully manage large amounts of data, ensuring compliance with data classification requirements while maintaining data integrity and accessibility.
  • You will partner with peers across towers and lines of business to plan and execute a comprehensive data roadmap.

Requirements
  • Bachelor's or Master's degree in Computer Science/Software Engineering or a related field
  • Strong design skills for individual applications (solution architecture) and across applications (enterprise architecture)
  • Deeply passionate about learning and innovating using the latest and greatest in big data engineering, cloud and open source
  • 10+ years' experience working in big data environment, working with structured, semi-structured and unstructured data
  • Sound understanding of various data solution patterns and when to use them: ETL/ELT, RDBMS, Normalization/De-normalization, Key-Value, In-Memory, Wide Column, Columnar, Graph, Text Indexing, Streaming, Messaging
  • 2+ years' experience designing and implementing data solutions on Amazon Web Services (AWS), using offerings such as: S3, Athena, Glue, EMR, Lambda, RDS, EC2, DynamoDB, Elasticache, Redshift
  • Strong software engineering and object-oriented programming skills with expertise in languages such as Python, Scala and Java; and open source frameworks/libraries, such as Apache Spark, Apache Airflow
  • Strong data architecture, data warehousing, data modeling and data manipulation skills, such as in SQL, Stored Procedures, MySQL, Oracle, SQL Server, PostgreSQL
  • Knowledge of traditional big data systems, such as Hadoop, Impala, Sqoop, Oozie, Cassandra, Hive, HBase
  • Experience with Agile methodologies, such as Scrum, Kanban, Lean
  • Hands on experience with various Business Intelligence tools such as Tableau, Looker, Superset, D3.js
  • Strong attention to detail and ability to manage multiple projects and stakeholders
  • Ability to produce quality results in an evolving, fast-paced environment
  • Strong communication skills (written and verbal), including ability to formulate and deliver engaging presentations that influence audience
  • Familiar with development tools such as Jenkins, Rundeck, SVN/Crucible/Jira, Git/Stash

Bonuses
  • Experience building APIs, web services and/or data-as-a-service offerings
  • Experience with containers, Kubernetes, Docker, Amazon EKS, Amazon ECS, Amazon Fargate
  • Experience building apps for real-time streaming using Apache Spark Streaming, Apache Kafka and/or Amazon Kinesis

Nice to Have
  • Experience re-engineering and migrating on-premises data solutions to and for the cloud
  • Experience building on emerging cloud serverless managed services, to minimize/eliminate physical/virtual server footprint
  • Experience implementing security solutions for data storage and processing in the cloud
  • Experience with MPP cloud data-warehouse-as-a-service offerings, such as Snowflake
  • Familiarity with predictive analytics, data science, machine learning, deep learning
  • Experience with Microsoft Business Intelligence stack, specifically SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS)
  • Sound understanding of various data solution patterns and when to use them: ETL/ELT, RDBMS, Normalization/De-normalization, Key-Value, In-Memory, Wide Column, Columnar, Graph, Text Indexing, Streaming, Messaging
  • 2+ years' experience designing and implementing data solutions on Amazon Web Services (AWS), using offerings such as: S3, Athena, Glue, EMR, Lambda, RDS, EC2, DynamoDB, Elasticache, Redshift, Kinesis
  • Strong software engineering and object-oriented programming skills with expertise in languages such as SQL, Python, Scala and Java; and open source frameworks/libraries, such as Spark, Airflow, Kafka
  • Strong data architecture, data warehousing, data modeling and data manipulation skills, such as in SQL, Stored Procedures, Oracle, SQL Server, PostgreSQL
  • Knowledge of traditional big data systems, such as Hadoop, Impala, Sqoop, Oozie, Cassandra
  • Experience with Agile methodologies, such as Scrum, Kanban, Lean
  • Hands on experience with various Business Intelligence tools such as Tableau, Looker, Superset, Kibana, D3.js
  • Strong attention to detail and ability to manage multiple projects and stakeholders
  • Ability to produce quality results in an evolving, fast-paced environment
  • Strong communication skills (written and verbal), including ability to formulate and deliver engaging presentations that influence audience
  • Familiar with development tools such as Jenkins, Rundeck, SVN/Crucible/Jira, Git/Stash
  • Experience with real-time, stream processing
  • Experience with MPP cloud data-warehouse-as-a-service offerings, such as Snowflake
  • Familiarity with predictive analytics, data science, machine learning, deep learning
  • Experience with Microsoft Business Intelligence stack, specifically SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS)
  • Sound understanding of various data solution patterns and when to use them: ETL/ELT, RDBMS, Normalization/De-normalization, Key-Value, In-Memory, Wide Column, Columnar, Graph, Text Indexing, Streaming, Messaging
  • 2+ years' experience designing and implementing data solutions on Amazon Web Services (AWS), using offerings such as: S3, Athena, Glue, EMR, Lambda, RDS, EC2, DynamoDB, Elasticache, Redshift, Kinesis
  • Strong software engineering and object-oriented programming skills with expertise in languages such as SQL, Python, Scala and Java; and open source frameworks/libraries, such as Spark, Airflow, Kafka
  • Strong data architecture, data warehousing, data modeling and data manipulation skills, such as in SQL, Stored Procedures, Oracle, SQL Server, PostgreSQL
  • Knowledge of traditional big data systems, such as Hadoop, Impala, Sqoop, Oozie, Cassandra
  • Experience with Agile methodologies, such as Scrum, Kanban, Lean
  • Hands on experience with various Business Intelligence tools such as Tableau, Looker, Superset, Kibana, D3.js
  • Strong attention to detail and ability to manage multiple projects and stakeholders
  • Ability to produce quality results in an evolving, fast-paced environment
  • Strong communication skills (written and verbal), including ability to formulate and deliver engaging presentations that influence audience
  • Familiar with development tools such as Jenkins, Rundeck, SVN/Crucible/Jira, Git/Stash
  • Experience with real-time, stream processing
  • Experience with MPP cloud data-warehouse-as-a-service offerings, such as Snowflake
  • Familiarity with predictive analytics, data science, machine learning, deep learning
  • Experience with Microsoft Business Intelligence stack, specifically SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS)

Nice to Have
  • Experience re-engineering and migrating on-premises data solutions to and for the cloud
  • Experience building on emerging cloud serverless managed services, to minimize/eliminate physical/virtual server footprint
  • Experience building APIs, web services and/or data-as-a-service offerings
  • Experience with containers, Kubernetes, Docker
  • Experience implementing security solutions for data storage and processing in the cloud

About Us JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.
The health and safety of our colleagues, candidates, clients and communities has been a top priority in light of the COVID-19 pandemic. JPMorgan Chase was awarded the "WELL Health-Safety Rating" for all of our 6,200 locations globally based on our operational policies, maintenance protocols, stakeholder engagement and emergency plans to address a post-COVID-19 environment.
As a part of our commitment to health and safety, we have implemented various COVID-related health and safety requirements for our workforce. These requirements may include sharing information in the firm's vaccine record tool, vaccination or regular testing, mask wearing, social distancing and daily health checks. Requirements may change in the future with the evolving public health landscape. JPMorgan Chase will consider accommodation requests.
Equal Opportunity Employer/Disability/Veterans
About the Team Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You'll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.
See More
Apply Now
By clicking continue you agree to Built In’s Privacy Policy and Terms of Use.

Technology we use

  • Engineering
  • Product
    • .NETLanguages
    • C#Languages
    • C++Languages
    • JavaLanguages
    • JavascriptLanguages
    • PythonLanguages
    • ScalaLanguages
    • SqlLanguages
    • SwiftLanguages
    • AWSLanguages
    • CloudFoundryLanguages
    • AzureLanguages
    • KubernetesLanguages
    • jQueryLibraries
    • ReactLibraries
    • AngularJSFrameworks
    • ASP.NETFrameworks
    • Ember.jsFrameworks
    • HadoopFrameworks
    • Node.jsFrameworks
    • SparkFrameworks
    • SpringFrameworks
    • TensorFlowFrameworks
    • AccessDatabases
    • CassandraDatabases
    • DB2Databases
    • MariaDBDatabases
    • Microsoft SQL ServerDatabases
    • MongoDBDatabases
    • MySQLDatabases
    • OracleDatabases
    • DynatraceDatabases
    • Splunk Databases
    • PromtheusDatabases
    • GrafanaDatabases
    • ConfluenceManagement
    • JIRAManagement

What are JPMorgan Chase Perks + Benefits

Culture
Volunteer in local community
Partners with Nonprofits
Diversity
Diversity Employee Resource Groups
Health Insurance & Wellness Benefits
Flexible Spending Account (FSA)
Disability Insurance
Dental Benefits
Vision Benefits
Health Insurance Benefits
Life Insurance
Wellness Programs
Mental Health Benefits
Retirement & Stock Options Benefits
401(K)
401(K) Matching
Employee Stock Purchase Plan
Performance Bonus
Child Care & Parental Leave Benefits
Generous Parental Leave
Family Medical Leave
Vacation & Time Off Benefits
Generous PTO
Paid Holidays
Paid Sick Days
Perks & Discounts
Casual Dress
Commuter Benefits
Game Room
Professional Development Benefits
Tuition Reimbursement
Diversity Program

An Insider's view of JPMorgan Chase

What’s the vibe like in the office?

My favorite thing about JPMorgan Chase is the vast number of problems we solve, and the diversity it takes to do that. Moving money, enabling payments and producing a world class customer experience are just a fraction of what we work on. Because the office is so casual and open, I get to participate in discussions on all of this.

Nick S.

Executive Director, Software Engineering

What projects are you most excited about?

As one of the largest financial institutions in the world, our scope of impact is huge. Knowing that a system we deliver is responsible for things millions do daily such as paying for groceries, withdrawing cash, or getting a loan pushes us toward solutions that scale, which is the most challenging but also the most rewarding part of our projects.

Edwin T.

Executive Director, Site Reliability Engineering

How does the company support your career growth?

JPMorgan has helped me develop as a professional – both as a technologist and as a business leader. I have taken advantage of executive leadership training and development aligned to the firm’s culture of “How We Do Business.” I feel good about working for a firm that invests in its #1 asset – US!

Lupe C.

Executive Director

How do you empower your team to be more creative?

Empowerment for Idea generation, problem solving and innovation is best coming from those who do the work. I engage my technologist in high profile work and foster an environment where ideas are welcome. Empowerment of our technologists is the key to success. Teams dig in, innovate and identify ways to create a better client experience.

Dawn T.

Managing Director, Software Engineering

How does the company support your career growth?

Working at JPMC has been a wonderful experience. I love how much JPMorgan Chase cares about its communities by offering support of technologists to local non-profit organizations through social innovation programs. The company also invests in its employees and provides many learning opportunities to us.

Meng M.

Software Engineer

More Jobs at JPMorgan Chase