At Wells Fargo, we want to satisfy our customers’ financial needs and help them succeed financially. We’re looking for talented people who will put our customers at the center of everything we do. Join our diverse and inclusive team where you’ll feel valued and inspired to contribute your unique skills and experience.

Help us build a better Wells Fargo. It all begins with outstanding talent. It all begins with you.

Enterprise Finance & Information Technology offers technology and services that exceed Wells Fargo customers’ expectations and directly enable them to succeed financially. We interact with customers more than 12 billion times a year through in-store, online, ATM, and telephone transactions. We impact customers directly, through systems availability and security, as well as indirectly, through our business partners who offer and deliver a myriad of products and services that meet customers’ financial needs. We provide a competitive advantage for the company through excellence in fundamentals, integrated partnerships, and our talented and engaged team members.

The Enterprise Risk and Finance CIO organization provides technology to several lines of businesses including Risk, Compliance, Finance, Audit and Legal with a combined technology spend in excess of $500+MM annually and is a 1100+ person global organization. The Risk & Finance Core Services is a horizontal function within Risk and Finance CIO organization and is responsible for delivering data consistently across Risk & Finance.

The Risk & Finance Big Data Core Services Senior Technology Lead (ASE6) will:

• Provide technology leadership for data services that deliver Strategic Enterprise Risk Management data
• Design high performing data models on big-data architecture as data services.
• Design and build high performing and scalable data pipeline platform using Hadoop, Apache Spark and Amazon S3 based object storage architecture.
• Design and build the data services on container-based architecture such as Kubernetes and Docker
• Partner with Enterprise data teams such as Data Management & Insights and Enterprise Data Environment (Data Lake) and identify the best place to source the data
• Work with business analysts, development teams and project managers for requirements and business rules.
• Collaborate with source system and approved provisioning point (APP) teams, Architects, Data Analysts and Modelers to build scalable and performant data solutions.
• Effectively work in a hybrid environment where legacy ETL and Data Warehouse applications and new big-data applications co-exist
• Work with Infrastructure Engineers and System Administrators as appropriate in designing the big-data infrastructure.
• Work with DBAs in Enterprise Database Management  group to troubleshoot problems and optimize performance
• Support ongoing data management efforts for Development, QA and Production environments
• Utilizes a thorough understanding of available technology, tools, and existing designs.
• Leverage knowledge of industry trends to build best in class technology to provide competitive advantage.
• Acts as expert technical resource to programming staff in the program development, testing, and implementation process.

• 5+ years of financial industry experience
• 10+ years of ETL (Extract, Transform, Load) Programming experience
• 5+ years of Agile experience
• 5+ years of Hadoop experience
• 10+ years of experience delivering complex enterprise wide information technology solutions
• 5+ years of Java or Python experience
• 3+ years of design and development experience with columnar databases using Parquet or ORC file formats on Hadoop
• 3+ years of Apache Spark design and development experience using Scala, Java, Python or Data Frames with Resilient Distributed Datasets (RDDs)
• 10+ years of reporting experience, analytics experience or a combination of both
• 5+ years of experience delivering ETL, data warehouse and data analytics capabilities on big-data architecture such as Hadoop
• 10+ years of application development and implementation experience

• A BS/BA degree or higher in information technology
• Ability to interact effectively and confidently with senior management
• Knowledge and understanding of project management methodologies: used in waterfall or Agile development projects
• Knowledge and understanding of virtual environments
• Knowledge and understanding of DevOps principles
• Experience designing and developing data analytics solutions using object data stores such as S3
• Experience Hadoop ecosystem tools relevant for real-time and batch data ingestion, processing and provisioning using tools such as Apache Flume, Apache Kafka, Apache Sqoop, Apache Flink, Apache Hive or Apache Storm
• Excellent verbal, written, and interpersonal communication skills

• 5+ years of experience in design and development of ETL, Data Warehouse, and Data Analytics capabilities on big-data architecture such as Hadoop
• 5+ years of Hadoop development/programming experienceKnowledge of Oracle Financial Services Data Foundation (FSDF) Banking & Insurance industry standard data mode
• Experience in leading Data Warehouse and Data Analytics applications for Risk and Finance
• Must be knowledgeable in processes and data related to risk and finance functions
• Knowledge of Oracle Financial Services Data Foundation (FSDF) Banking & Insurance industry standard data mode

NC-Charlotte: 301 S Tryon St - Charlotte, NC
NC-Charlotte: 401 S Tryon St - Charlotte, NC
AZ-Chandler: 2600 S Price Rd - Chandler, AZ

All offers for employment with Wells Fargo are contingent upon the candidate having successfully completed a criminal background check. Wells Fargo will consider qualified candidates with criminal histories in a manner consistent with the requirements of applicable local, state and Federal law, including Section 19 of the Federal Deposit Insurance Act.



Relevant military experience is considered for veterans and transitioning service men and women.

Wells Fargo is an Affirmative Action and Equal Opportunity Employer, Minority/Female/Disabled/Veteran/Gender Identity/Sexual Orientation.

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