Gen Digital Inc.

Gen Digital Inc.

Senior Data Engineer - Data Platform & Martech Engineering

USA - New York, NY · Senior

Sponsorship not specifiedDetected 13 days ago
PythonJavaSQLBigQuerySnowflakeDatabricksKafkaSparkAirflowData EngineeringData ScienceA/B TestingIncident ResponseStakeholder ManagementLeadershipCommunicationMentoringAdaptability

About the role

  • We are seeking a highly motivated Senior Data Engineer to join the MoneyLion Data Platform & Martech Engineering team.
  • 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.

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.
  • 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.
  • Strong experience developing scalable data products, semantic layers, and analytical data models supporting enterprise reporting and activation use cases.
  • Proven ability to write technical design documents, evaluate architectural trade-offs, and deliver scalable engineering solutions.
  • Technical Interview - System Design & White-boarding - cross functional team
  • 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.

Nice to have

  • 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.
  • 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.
  • 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.

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.
  • 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.
  • Systems thinker with the ability to connect business needs, customer experiences, and technical architecture.
  • 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.

Benefits

  • Together, we share a collective passion and vision to protect consumers and help them grow, manage and secure their digital and financial lives.
  • 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.
  • 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.

Company info

  • At Gen, we are scrappy and relentlessly customer driven.
  • If this sounds like you, we'd love you to be part of Gen.
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