Senior Data Engineer, Data Platform & Martech Engineering

Gen Digital

Confirmed live today High trust

Hybrid

Quick summary

Work type: Hybrid
Location: New York, NY
Salary: $165,000–$187,000 / yr
Employment: Full-time
Posted: 18 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $171k

This role $176k

$116k $226k

below market most similar roles pay here above market

This role pays more than 53% of similar roles. Most pay $126,800–$215,325 — the blue band above. At the midpoint, this role pays about $176k versus about $171k for comparable roles.

Based on 240 similar postings.

Employer

About Gen Digital

Gen Digital is a US-based consumer cybersecurity company formed by the merger of NortonLifeLock and Avast. It sells identity protection, antivirus, VPN, and privacy software under the Norton, Avast, AVG, Avira, LifeLock, ReputationDefender, and CCleaner brands.

Gen Digital currently has 21 open roles on FindRole.

Listed pay typically runs $195,000–$225,000 across 16 roles with salary data.

Most-posted roles

View all roles at Gen Digital

At a glance

TL;DR · Senior Data Engineer, Data Platform & Martech Engineering

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The Senior Data Engineer - Data Platform & Martech Engineering joins the MoneyLion Data Platform & Martech Engineering team to design, build, and scale data foundations for analytics, marketing activation, and financial product experiences. You will develop scalable batch and streaming data platforms, ETL/ELT frameworks, and AI-ready pipelines while architecting enterprise-grade data models using Kimball dimensional modeling methodologies. Key responsibilities include managing semantic layer architectures, supporting Martech infrastructure like Hightouch, Segment, and Iterable, and operationalizing AI-powered solutions. You must possess expert-level SQL and proficiency in Python, Spark, or Java, alongside experience with Snowflake, Databricks, BigQuery, or Redshift. Additionally, you will utilize orchestration tools like Airflow, Dagster, and dbt to solve complex business processes involving attribution, audience intelligence, and real-time marketing use cases.

What does a Data Engineer earn?

Median $159000 from 203 postings across 58 companies.

See salary data

Skills

SQL Python Spark Java Snowflake Databricks BigQuery Redshift Airflow Dagster dbt Kafka Kinesis Pub/Sub Hightouch Segment Iterable Amplitude Kimball ETL ELT Data Governance Data Lineage Observability

What you'll do

Design and optimize scalable batch and streaming data platforms and ETL/ELT frameworks.
Architect enterprise-grade data models and semantic layers using Kimball dimensional modeling methodologies.
Translate complex business processes into scalable data contracts and trusted analytical models.
Design and support Martech infrastructure for audience orchestration and real-time marketing use cases.
Build and operationalize AI-powered solutions and intelligent agents to improve productivity and engagement.
Define and enforce platform standards for data governance, lineage, schema evolution, and quality SLAs.
Improve operational excellence through monitoring, alerting, incident response, and root cause analysis.

What we're looking for

Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, or a related technical field required.
Master's degree (preferred).
5+ years of experience designing, building, and operating production-grade data platforms and distributed data systems.
Expert-level SQL and strong proficiency in Python, Spark, or Java.
Deep expertise in dimensional data modeling, semantic layer architecture, and Kimball methodologies.
Hands-on experience with cloud data platforms such as Snowflake, Databricks, BigQuery, or Redshift.
Experience with orchestration and transformation frameworks such as Airflow, Dagster, and dbt.
Experience supporting customer data platforms, marketing technology ecosystems, or data activation platforms (preferred).

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