Job Details

Cloud & Big Data Architect

JPMorgan Chase & Co
Lewisville, Texas, United States

Working as an Architect, your passion for technology and thirst for innovation will help shape the future of global digital commerce, now and for years to come. Every day, you'll bring critical day-to-day leadership and thinking to the table, working with teams of architects, aligning cross-functional projects, ensuring that they're within reason, fiscally and technically. You'll collaborate with internal teams and business leaders alike, creating strategically sound Target State Architectures. Youll have a major say in budgeting, hiring, mentoring, setting priorities and fostering a client-centric environment where everyone learns and grows. At the end of the day, your work will have tremendous and positive impact, whether it's in-house, in collaboration with technologists across JPMorgan Chase & Co.'s global technology community or in partnership with some of the most important tech firms in the world.

A top CT 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 firms 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 firms corporate technology portfolio, increasing efficiencies through process automation and Agile application development, with an emphasis on user experience and shorter development cycles

This role requires a wide variety of strengths and capabilities, including:

  • Bachelors or Masters degree in Computer Science/Software Engineering or a related field
  • Minimum of one year of work experience as a solution architect
  • Deeply passionate about learning and innovating using the latest and greatest in big data engineering, cloud and open source
  • Strong design skills for individual applications (solution architecture) and across applications (enterprise architecture)
  • 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, 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/StashExperience 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.

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