Senior Data Platform Engineer - Martech & Analytics

Gen Digital Inc.; New York (NY); On-site; USD 140,000 - 190,000; Full time

Job summary

Gen Digital Inc. seeks a Senior Data Engineer to join the MoneyLion Data Platform & Martech Engineering team.

You will design, build, and scale data foundations powering analytics, engagement, AI initiatives, and product experiences across the organization. The ideal candidate brings strong software engineering with data architecture expertise, cloud data platforms, and experience in governance, scalability, and collaboration with Product, Analytics, and Engineering teams.

Qualifications

• Bachelor’s degree or higher in a technical field; fintech/regulated industry experience preferred.
• 5+ years designing, building, and operating production data platforms and distributed systems.
• Proven ability to model data, govern metrics, and deliver scalable engineering solutions.
• Experience with customer data platforms and activation ecosystems is highly valued.

Responsibilities

• Design, build, and optimize scalable data platforms and AI-ready pipelines.
• Architect enterprise data models and semantic layers using Kimball methodologies.
• Collaborate with Product, Martech, Analytics, Data Science, and Engineering teams.
• Support activation platforms and real-time marketing use cases.
• Lead governance, data quality, and reliability initiatives across the stack.
• Mentor teammates and drive AI-assisted engineering practices.

Skills

SQL

Python

Spark

Java

Data modeling

Cloud data platforms

Communication

Education

Bachelor's degree in CS/Engineering

Master’s degree preferred

Tools

Snowflake

Databricks

BigQuery

Redshift

Airflow

dbt

Kafka

Hightouch

Segment

Iterable

Amplitude

Job description

Gen Digital Inc. seeks a Senior Data Engineer to join the MoneyLion Data Platform & Martech Engineering team.

You will design, build, and scale data foundations powering analytics, engagement, AI initiatives, and product experiences across the organization. The ideal candidate brings strong software engineering with data architecture expertise, cloud data platforms, and experience in governance, scalability, and collaboration with Product, Analytics, and Engineering teams.