Principal Data & AI Platform Engineer

Fiserv

Principal Engineer designing and building secure AI platforms at Fiserv. Unifying and modeling data from various sources to deliver analytics and insights.

Posted 5/15/2026full-timeBerkeley Heights • New Jersey, New York • 🇺🇸 United StatesLead💰 $110,000 - $186,000 per yearWebsite

Tech Stack

Tools & technologies

CloudDynamoDBETLMicroservicesPostgresPythonSQL

About the role

Key responsibilities & impact

Design and implement secure data pipelines to migrate and unify data from PostgreSQL, DynamoDB, and other source databases into Snowflake
Build and optimize ELT/ETL workflows, data models, and schemas in Snowflake for analytics and AI use cases
Own Snowflake performance tuning, cost optimization, clustering, and secure data sharing patterns
Ensure high data quality, lineage, and reconciliation between source systems and Snowflake
Build analytics datasets and semantic layers to support enterprise reporting, dashboards, and ad-hoc analysis
Enable self-service analytics for business and operations teams using governed datasets
Collaborate with product and business stakeholders to define KPIs, metrics, and reporting logic
Design and deploy on-prem ML and LLM solutions for reporting automation, anomaly detection, forecasting, and operational insights
Implement private/self-hosted LLM architectures with secure inference pipelines
Develop ML pipelines for feature engineering, training, validation, and inference
Expose secure APIs and services for data access, analytics, and AI inference
Ensure sensitive FinTech data never leaves approved infrastructure or flows into public AI models

Requirements

What you’ll need

8+ years of experience in software engineering, data platforms, or analytics engineering
Strong expertise in SQL, with hands-on experience in Snowflake and PostgreSQL
Proven experience building and operating secure ETL/ELT data pipelines and analytics platforms at enterprise scale
Hands-on experience with machine learning and analytics-driven AI use cases
Experience working with LLMs in private or on-prem environments
Proficiency in Python for data processing, analytics, and ML workflows
Experience integrating analytics and AI capabilities into enterprise applications via APIs and services
Familiarity with microservices and REST APIs
Experience deploying workloads in on-prem, private cloud, or hybrid environments
Strong understanding of data security, encryption, access controls, and operating in regulated environments
Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience).

Benefits

Comp & perks

Health insurance
Retirement plans
Paid time off
Flexible work arrangements
Professional development
Annual incentive opportunity (cash bonus and equity awards)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

SQLSnowflakePostgreSQLETLELTmachine learningPythonAPIsdata processingdata modeling

Soft Skills

collaborationcommunicationproblem-solvinganalytical thinkingorganizational skills

Certifications

Bachelor’s degree in Computer ScienceBachelor’s degree in Engineering