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Fiserv

B2B payments and banking technology

Data Architect

Data EngineeringConfirmed live in the last 24 hours
Full-time$145k - $240k

About the Job

Requirements

  • At least 8 years of experience in data engineering, data architecture, or software development.
  • At least 5 years of experience designing and building enterprise-scale data platforms or data products.
  • At least 4 years of experience with Databricks, Apache Spark, and Delta Lake or similar lakehouse technologies.
  • At least 4 years of experience with Azure, AWS, or GCP data services.
  • At least 4 years of experience with SQL, Python or Scala, and dimensional, relational, and lakehouse data modeling.
  • At least 3 years of experience with data governance, security, and access control practices.
  • At least 3 years of experience with CI/CD pipelines, DevOps practices, and Agile methodologies.
  • A bachelor's degree in data science, computer science, engineering, or mathematics, or an equivalent combination of education, work, and/or military experience.
  • Must currently possess valid and unrestricted U.S. work authorization; candidates with temporary visas or requiring sponsorship now or in the future are not eligible.

Responsibilities

  • Define end-to-end architecture for data products, including ingestion, transformation, storage, governance, and delivery on cloud data platforms.
  • Partner with product owners and business stakeholders to translate requirements into data models, technical designs, and delivery roadmaps.
  • Design and oversee scalable batch and streaming pipelines using Databricks, Spark, and Azure data services.
  • Design AI-ready data products and platform capabilities for machine learning and generative AI use cases, including feature engineering, vector search, and retrieval-augmented generation pipelines.
  • Establish standards for data quality, security, access control, lineage, and metadata management across data products.
  • Lead platform modernization and migration initiatives, ensuring client data delivery meets performance and service-level agreement commitments.
  • Conduct architecture and design reviews, and drive engineering best practices, AI-assisted development automation, and release quality controls.
  • Mentor data engineers and provide technical guidance to cross-functional and vendor teams.

Desired Qualifications

  • Experience in the financial services industry.
  • Experience with Unity Catalog, data mesh, or streaming technologies such as Kafka or Spark Structured Streaming.
  • Experience enabling AI/ML and generative AI solutions on Databricks or similar platforms, such as feature stores, vector databases, or retrieval-augmented generation pipelines.
  • Experience leading large-scale data platform migrations and client data delivery with service-level agreement commitments.
  • Databricks, Azure, or AWS architecture certifications.

About the Company

Fiserv

B2B payments and banking technology

Fiserv provides financial technology and services to banks, credit unions, merchants, and other financial firms, spanning payments, core banking, and digital networks. Its products work by licensing software, processing transactions, and delivering professional services that let clients manage accounts, merchant transactions, and digital payments through integrated systems. It stands apart as an end-to-end supplier that combines core banking, payments, merchant acquiring, and networks under one roof, enabling cross-sell opportunities and growth through acquisitions. Its goal is to help financial institutions and merchants run large-scale payments and banking operations more efficiently with a comprehensive, integrated technology stack.

Company size
10,001+
Company stage
IPO
Headquarters
Milwaukee, WI
Founded
1984

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