---
title: 'Senior Data Engineer - Data Platform & Martech Engineering at Gen Digital Inc.'
canonical: 'https://feeny.ai/job/senior-data-engineer-data-platform-martech-engineering-gen-digital-inc-united-kf5r7kfvq4vk'
type: 'job'
last_seen: '2026-09-24'
---

# Senior Data Engineer - Data Platform & Martech Engineering at Gen Digital Inc.

- **Company:** [Gen Digital Inc.](https://feeny.ai/companies/gen-digital-inc)
- **Location:** United States / New York, NY
- **Compensation:** $165k–$187k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-07-09
- **Last confirmed live:** 2026-09-24
- **Apply:** https://jobs.ashbyhq.com/gen-digital/bc3882e5-3e04-4fb7-8310-c01addb83c28

## Job description

About Gen: Gen is a global company dedicated to powering Digital Freedom through its trusted consumer brands including Norton, Avast, LifeLock, MoneyLion and more. Our combined heritage is rooted in financial empowerment and cyber safety for the first digital generations, and today we deliver award-winning cybersecurity, online privacy, identity protection and financial wellness solutions to nearly 500 million users in more than 150 countries. Together, we share a collective passion and vision to protect consumers and help them grow, manage and secure their digital and financial lives. We’re always looking for smart, fearless and high-impact talent who see AI as a teammate – leveraging it to move faster and deliver meaningful results. When you’re part of Gen, you’ll have the flexibility, tools and support to do your best work and grow your career – from flexible working options and time off to competitive pay, benefits and well-being programs. At Gen, we are scrappy and relentlessly customer driven. We create room for healthy debate, experimentation and continuous learning, and we seek out people with different experiences, identities and ideas to join our team. You’ll work with people who back each other, respect each other and understand that our differences are a competitive advantage. If this sounds like you, we’d love you to be part of Gen.

About the Role: We are seeking a highly motivated Senior Data Engineer to join the MoneyLion Data Platform & Martech Engineering team. This role will be responsible for designing, building, and scaling the data foundations that power analytics, customer engagement, marketing activation, AI initiatives, and financial product experiences across the organization. The ideal candidate combines strong software engineering fundamentals with expertise in data architecture, dimensional modeling, semantic layer design, and modern cloud data platforms. This individual will play a critical role in enabling trusted, governed, and scalable data products while partnering closely with Product, Martech, Analytics, Data Science, and Engineering teams. As part of a forward-thinking organization, we are looking for engineers who embrace AI-assisted development and are excited about building intelligent systems, automation, and agent-powered solutions that improve business outcomes and engineering productivity.

Key Responsibilities:

- Design, build, and optimize scalable batch and streaming data platforms, ETL/ELT frameworks, and AI-ready data pipelines supporting analytics, marketing, product, and operational use cases with strong focus on reliability, observability, scalability, and cost optimization.
- Architect and maintain enterprise-grade data models and semantic layer architectures using Kimball dimensional modeling methodologies, including fact/dimension design, conformed dimensions, slowly changing dimensions (SCDs), star schemas, and governed business metrics.
- Partner cross-functionally with Product, Martech, Analytics, Data Science, and Engineering teams to translate complex business processes into scalable data contracts, integration patterns, and trusted analytical models supporting attribution, audience intelligence, experimentation, personalization, and data activation.
- Design and support Martech and customer data infrastructure, including platforms such as Hightouch, Segment, Iterable, Amplitude, and other activation technologies, enabling audience orchestration, customer journey automation, reverse ETL, and real-time marketing use cases.
- Build and operationalize AI-powered solutions, intelligent agents, and data products that improve internal productivity, customer engagement, campaign optimization, and self-service access to data and insights.
- Define and enforce platform standards for schema evolution, data lineage, governance, metric consistency, access controls, naming conventions, and data quality SLAs across the organization.
- Improve operational excellence across the data ecosystem through monitoring, alerting, freshness validation, schema drift detection, incident response, root cause analysis, and production support, while leading technical design discussions, architecture reviews, mentorship, and adoption of AI-assisted engineering practices.

About You: Education:

- Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, or a related technical field required. Master's degree preferred.

Experience:

- 5+ years of experience designing, building, and operating production-grade data platforms and distributed data systems.
- Strong experience developing scalable data products, semantic layers, and analytical data models supporting enterprise reporting and activation use cases.
- Demonstrated expertise in dimensional data modeling and Kimball methodologies, including fact and dimension modeling, conformed dimensions, SCDs, and metric governance.
- Experience supporting customer data platforms, marketing technology ecosystems, or data activation platforms is highly preferred.
- Proven ability to write technical design documents, evaluate architectural trade-offs, and deliver scalable engineering solutions.
- Experience operating in fintech, financial services, adtech, or other highly regulated industries preferred.
- Strong communication and stakeholder management skills with experience collaborating across engineering, analytics, product, and business teams.

Technical Skills:

- Deep expertise in dimensional data modeling, semantic layer architecture, and Kimball methodologies.
- Strong experience designing fact tables, conformed dimensions, SCD strategies, star schemas, and governed analytical models.
- Expert-level SQL and strong proficiency in Python, Spark, or Java with emphasis on scalable, maintainable, and testable production-quality code.
- 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.
- Familiarity with streaming and event-driven architectures using Kafka, Kinesis, Pub/Sub, or similar technologies.
- Experience with customer data and activation platforms such as Hightouch, Segment, Iterable, Amplitude, or similar Martech technologies.
- Strong understanding of data governance, lineage, observability, access controls, and enterprise data quality frameworks.
- Experience implementing monitoring, SLA management, freshness validation, schema drift detection, and operational support processes.
- Familiarity with AI-assisted development tools and engineering productivity platforms such as Cursor, Claude Code, OpenAI, or similar technologies.

Personal Attributes:

- Systems thinker with the ability to connect business needs, customer experiences, and technical architecture.
- Passionate about building scalable, governed, and trusted data platforms.
- Curious, adaptable, and enthusiastic about leveraging AI to improve engineering workflows and business outcomes.
- Strong ownership mentality with a bias toward action and operational excellence.
- Effective collaborator capable of influencing stakeholders across technical and non-technical teams.
- Committed to mentoring teammates and raising the engineering standards of the organization.

What’s Next: After you submit your application, you can expect the following steps in the recruitment process:

- Recruiter Interview
- Hiring Manager Interview + Live Coding
- Technical Interview – System Design & White-boarding – cross functional team
- Final Interview - Leadership

## About Gen Digital Inc.

## Company Overview
- **One-liner**: Gen is a global leader in Cyber Safety, powering Digital Freedom through its trusted consumer brands Norton, Avast, LifeLock, and MoneyLion.
- **Entity Type**: Public (ticker not confirmed in provided sources; refer to SEC filings)
- **Headquarters**: Dual headquarters in Tempe, Arizona, United States, and Prague, Czech Republic
- **Founded**: Not explicitly disclosed; the merged entity (Gen) was formed in 2022 following the combination of NortonLifeLock and Avast
- **Founders**: Not publicly available for the merged company; predecessor brands were founded by Peter Norton (Norton) and Pavel Baudiš & Eduard Kučera (Avast)

## Core Business
- **Primary industry**: Cybersecurity (Cyber Safety), digital privacy, identity protection, and financial wellness
- **Target customers**: B2C (individuals and families), with some B2B2C offerings for enterprises and institutions (breach response, employee benefits)
- **Mission or purpose statement**: “Powering Digital Freedom” – giving people the confidence, tools, and insights to control, manage, and grow their digital and financial lives

## Products & Services
- **Norton**: Award-winning cybersecurity, online privacy, and device protection for individuals and families (SaaS security suites, VPN, password manager, etc.)
- **Avast**: AI-powered threat detection and digital security products focused on malware, privacy, and real-time protection (freemium model, top-ranked by industry experts)
- **LifeLock**: Identity theft protection with proactive monitoring, alerts, and dedicated Identity Restoration Specialists (U.S. leader)
- **MoneyLion**: Digital financial wellness platform offering Instacash, RoarMoney, Credit Builder Plus, and a marketplace for financial products (B2C and B2B2C)

## Market Standing
- **Valuation/Market Cap**: Not provided in search results; as a publicly traded company, refer to SEC filings for current market cap
- **Key Metric**: Nearly 500 million global users across the brand ecosystem; MoneyLion has processed $7.5B+ in transaction volume and served 81M+ users since launch
- **Notable Investors/Partners**: No specific investors cited; the company partners with leading institutions for breach response, employee benefits, and identity protection
- **Growth Signals**: 
  - Total cyberattacks blocked in 2024 is a key metric (exact number not shared)
  - MoneyLion’s rapid growth in transaction volume and user base
  - Expanding from protection into financial wellness and AI-driven personalization

## Competitive Advantages
- Family of trusted, globally recognized consumer brands (Norton #1 top-of-mind Cyber Safety brand, LifeLock leader in identity protection)
- Deep visibility into a vast threat network (machine learning and AI across ~500M users) enables superior threat detection and personalization
- Unique platform combining cybersecurity, privacy, identity restoration, and financial wellness – a “trust layer” for the digital economy
- Dual HQ presence (U.S. and Europe) provides diverse talent and regulatory insight

## Strategic Focus
- Building a unified AI-powered platform that delivers personalized, proactive, and automated Cyber Safety and financial empowerment
- Deepening leadership in Cyber Safety while extending into financial wellness to compound lifetime customer value
- Positioning Gen as the “trust layer” for the AI economy – bridging what AI can do and what consumers trust it to do
- Expanding B2B2C partnerships (breach response, employee benefits, identity protection for institutions)

## Why Work Here
- **Culture**: Emphasizes collaboration, innovation, a giving mindset, and customer obsession. Values include “Think Big. Be Bold.”, “Be Scrappy. Make it Happen.”, and “Play to Win. Together.”
- **Work model**: Hybrid – choose which days to be in the office with an expectation of three days per week; unlimited paid time off; recognized holidays; parental leave and leaves of absence
- **Benefits**: 
  - Employee Stock Purchase Plan (ESPP) 
  - Performance-based bonuses
  - Learning & development (Learn@Gen, mentorship, degree/certification reimbursement, 24/7 eLearning)
  - Wellness: virtual fitness, on-site gyms, Employee Assistance Program (EAP) extending to dependents
  - Adoption, foster care, fertility, and surrogacy benefits in 15+ countries
  - Global recognition program (“Inspire”) and diverse employee communities
- **Interview process**: Transparent – 15-30 min recruiter chat, 2-3 skill/team interviews (may include a task), then offer. Reflects the company’s collaborative culture.

## Sources
1. [gendigital.com](https://www.gendigital.com/us/en/) – Company overview, brand family, mission, and metrics
2. [gendigital.com](https://www.gendigital.com/us/en/who-we-are/) – Who We Are, strategy, and solution details
3. [gendigital.com](https://www.gendigital.com/us/en/life-gen/) – Careers page with culture, values, and interview process
4. [gendigital.com](https://www.gendigital.com/us/en/life-gen/jobs/) – Open roles listing
5. [gendigital.com](https://www.gendigital.com/us/en/benefits/) – Benefits overview (hybrid work, wellness, learning, compensation)

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