Big Data Architect

Key Skills

Aartificial intelligence, Apache Hadoop, AWS, Azure, Big Data Technology, Data Analysis, Data Analytics, Data Architecture, Data science techniques, Database, Design, Google Cloud Platform (GCP), Java Programming, MLOps tools, Spark Core

Job Description

What does a successful Big Data Architect do at Fiserv?

This is a crucial role responsible for understanding Fiserv’s data platform strategy /architecture and the data to support that strategy. We are looking for a solution architect role with strong technical background (Java) to create data and analytics platform. The candidate will be responsible for working on POCs / POTs for new technologies related to containerization, Data Ops, ML Ops, promoting and monitoring standard technologies, and creating and maintaining data, application and technology road maps.

What you will do:

• Define the overarching data strategy, roadmaps and standards for Data & Analytics. This includes but is not limited to components like Big Data Processing, Data Ops, Containerization, data integration, Data Science and AI / ML.
• Take an active role in sourcing, organizing, maintaining and ultimately democratizing data through the development of innovative design techniques, tools and well-organized databases
• Evangelize effective data modeling and communicate benefits and return on investment for application and product owners.
• Establish and lead a targeted team of expert data architects and data modelers who focus on hands on data modeling, analysis, and architecture/design of data movement, data access, transactional and analytics solutions.
• Proactively identify enterprise opportunities that accelerate delivery and drive down operational costs through cross-product data services.
• Develop institutional policies and procedures
• Participate in tool evaluation, pilots and selection.

You will need to have:

• BS/MS in Computer Science, Information Systems or Equivalent
• 15+ years related work experience or equivalent.
• Hands on experience working with Java to build data engineering pipelines and platforms
• Hands on experience with database design and database optimization techniques for performance in very large volume data
• Direct experience with architecting and implementing Data-Ops, Containerization and should be familiar with Data Science and ML-Ops
• Experience with cloud data ecosystems like Azure, AWS or GC
• Expertise in emerging technologies (Big Data, Distributed Processing, In-Memory data bases, Apache Hadoop, Spark)
• Experience in the Payments / Card / Banking industry and familiarity with payments processing data constructs.

Perks at work:

• We are #FISVProud of our commitment to wellness, preventive services, fitness, and work-life balance.
• Maintain a healthy work-life balance with paid holidays and our generous time off policies including Unlimited Rest and Relaxation.
• Protect and maintain your well-being with a variety of medical, dental, vision, life insurance and disability options.
• Plan for your future with the Fiserv 401(k) Savings Plan and Employee Stock Purchase Plan.
• Make health a priority with a range of activities, seminars, and learning resources through our Fuel Your Life program.
• Join Employee Resource Groups that promote our diverse and inclusive culture where associates can build their network and share perspectives..
• Relocation assistance may be provided to relocate to Berkeley Heights, NJ to join our new
• State- of- the -Art Innovation Tech Center