Principal, Data & AI Platform Engineer

Fiserv

Quick summary

Work type
On-site
Location
Berkeley Heights, NJ
Salary
$110,000–$186,000 / yr
Posted
1 day ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $206k
This role $148k
$94k most similar roles pay here $262k

This role pays less than 86% of similar roles. Most pay $165,950–$246,150 — the shaded band above. At the midpoint, this role pays about $148k versus about $206k for comparable roles.

Based on 240 similar postings.

Employer

About Fiserv

Fiserv is a global leader in financial services technology, providing core banking platforms, payment processing, digital banking, and merchant acquiring solutions to financial institutions and businesses. Industry: Financial Technology & Payments

Fiserv currently has 83 open roles on FindRole.

Listed pay typically runs $110,000–$186,000 across 53 roles with salary data.

Most-posted roles

View all roles at Fiserv

At a glance

TL;DR · Principal, Data & AI Platform Engineer

As a Principal Data & AI Platform Engineer at a leading FinTech firm, you will design and build an on-premise analytics and AI platform that integrates transactional data from PostgreSQL, DynamoDB, and other sources into Snowflake. Your responsibilities include creating secure data pipelines, optimizing ELT/ETL workflows, and building machine learning models for operational insights using Python and private LLM architectures. You’ll collaborate with stakeholders to define KPIs and ensure compliance in a highly regulated environment, while also integrating AI capabilities into enterprise applications via APIs and services. This role requires expertise in SQL, Snowflake, ETL frameworks, and secure data handling, as well as hands-on experience with machine learning pipelines and LLMs in private environments.

What you'll do

  • Design and implement secure data pipelines for migrating data from PostgreSQL, DynamoDB into Snowflake.
  • Build and optimize ELT/ETL workflows in Snowflake for analytics and AI use cases.
  • Ensure high data quality and lineage between source systems and Snowflake.
  • Deploy on-prem ML and LLM solutions for reporting automation and anomaly detection.
  • Integrate AI outputs with existing Java/Spring Boot-based services securely.
  • Enforce strict data security, encryption, and governance across all platforms.

What we're looking for

  • 8+ years of experience in software engineering or data platforms, owning production systems end-to-end.
  • Strong expertise in SQL with hands-on experience in Snowflake and PostgreSQL for data modeling and optimization.
  • Proven experience building secure ETL/ELT pipelines and analytics platforms at enterprise scale.
  • Hands-on experience with machine learning and LLMs in private/on-prem environments, including inference pipelines.
  • Proficiency in Python for data processing, analytics, and ML workflows; experience integrating AI into enterprise applications via APIs.
  • Strong understanding of data security, encryption, access controls, and operating in regulated FinTech environments.

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