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Fiserv

B2B payments and banking technology

Senior Director Data Engineering

Engineering LeadershipConfirmed live in the last 24 hours
Full-time$145k - $240k

About the Job

Requirements

  • At least 10 years of experience in data engineering, big data, or software development, including building data products on large-scale datasets.
  • At least 4 years of experience leading data engineering or data product teams.
  • At least 4 years of experience with Python, Java, or similar programming languages.
  • At least 4 years of hands-on experience with Apache Spark for large-scale distributed data processing.
  • At least 4 years of experience with SQL and data modeling for large, complex datasets, and cloud data platforms and services on AWS, Azure, or GCP.
  • At least 4 years of experience with CI/CD pipelines, DevOps/DataOps 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.

Responsibilities

  • Define and execute the strategy and roadmap for data products built on large-scale datasets to support business goals.
  • Lead and manage teams of data engineers and developers, providing direction and guidance to ensure successful delivery of data products.
  • Oversee the design, development, and implementation of scalable data pipelines, data platforms, and data products aligned with strategic goals.
  • Lead delivery of 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.
  • Partner with product, business, and cross-functional teams to gather requirements and translate them into data product specifications and technical solutions.
  • Ensure data quality, reliability, security, and governance across data products, including meeting service-level agreements for client data deliveries.
  • Monitor project progress, identify risks, and implement mitigation strategies to ensure timely and on-budget delivery.
  • Drive performance, scalability, and cost optimization of large-scale data processing, along with engineering best practices, automation including AI-assisted development, and release quality controls.
  • Work on-site Monday through Friday.
  • Travel approximately 10% off-site or to other office locations.

Desired Qualifications

  • Experience defining and managing data products as part of a product management or data mesh approach.
  • Experience in the financial services industry.
  • Experience with Databricks, including Delta Lake, Unity Catalog, and Lakehouse architecture.
  • Experience enabling AI/ML and generative AI solutions on Databricks or similar platforms, such as feature stores, vector databases, or retrieval-augmented generation pipelines.

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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