Gen Digital - Senior Data Platform Engineer

Department: Data Engineering

Location: Gen Digital India

Employment Type: FullTime

Who Are We

Gen is not just a company; we’re a global force. Fiercely committed to ensuring that everyone, everywhere, can live their lives digitally safe. Our family of brands – MoneyLion, Norton, Avast, LifeLock, AVG, Reputation Defender and CCleaner – unite the brightest minds, the sharpest tech and the most diverse thinking to protect over 500 million people. And we’ve built an inclusive workplace, where your well-being is a priority because true success comes from a place of balance and authenticity. When you're thriving, you’re unstoppable. So, bring us your bold ideas and passion that refuses to quit. The digital world isn’t some distant reality – it's the world we live in, and we’re ready for it. If you’re ready to push boundaries and be part of something bigger, join #TeamGen.

How We Work

We are a thriving, globally distributed team focused on building innovative mobile app solutions in security, utilities, and finance. Leveraging modern technologies, including AI-powered tools, we experiment, evaluate, and drive impactful change, creating secure, high-performance products across the globe.

Mission and Goals

We're seeking an exceptional Staff Data Platform Engineer to help design, build, and scale the foundational infrastructure that powers our data ecosystem. This is a high-impact role where you'll design resilient, scalable data platforms that enable thousands of data consumers across the organization. We are in the process of a legacy migration to a new cloud first approach. Think SRE meets data engineering – you'll ensure our data infrastructure is reliable, performant, and evolves with our growing needs.   

What You'll Do 

Platform Architecture & Design 

• Contribute to scalable data platform architectures supporting large-scale workloads  

• Help build self-service data infrastructure that empowers data teams to move fast while maintaining reliability 

• Support event-driven systems using Kafka and stream processing frameworks for real-time data flows 

Infrastructure as Code & Automation 

• Implement Infrastructure as Code using Terraform, CloudFormation, or similar tools  

• Build and maintain CI/CD pipelines for data infrastructure deployment and testing  

• Support automated monitoring, alerting, and system maintenance for data platforms  

• Contribute to deployment strategies that enable reliable updates across distributed data systems 

Security & Governance 

• Implement comprehensive data security frameworks including encryption, access controls, and audit logging 

• Support authorization systems with appropriate data access controls and onboarding of tools via systems like Sailpoint 

• Establish SLAs/SLOs for data platform services and implement comprehensive observability 

• Lead incident response and conduct thorough post-mortems to prevent recurring issues 

What You Bring 

Technical Expertise 

• Strong Python proficiency with experience in scripting, automation, and application development 

• Database and SQL mastery across multiple paradigms: PostgreSQL, MySQL, Snowflake, Oracle, DynamoDB, MongoDB 

• Kafka ecosystem experience  including cluster management, debezium experience, schema registry, connect frameworks, and stream processing 

• Container orchestration with Kubernetes and Docker,  

Platform Engineering Skills 

• Experience with of Infrastructure as Code and GitOps practices 

• Familiarity with observability stacks (Prometheus, Grafana, ELK, Jaeger) 

• Experience with data orchestration tools like Airflow, Prefect, or Dagster 

• Experience in maintaining and modernizing legacy data systems while ensuring business continuity 

Scale & Complexity 

• Experience with data platforms processing multi-TB daily workloads 

• Background supporting systems with hundreds of concurrent users 

• Familiarity with cloud architectures and distributed systems 

• Experience in performance monitoring and optimization 

• Experience supporting and maintaining legacy data systems including traditional databases and ETL tools 

Leadership & Collaboration 

• Strong collaboration skills with data teams, analysts, and stakeholders  

• Ability to translate business requirements into technical solutions  

• Interest in learning new technologies and growing technical expertise  

• Experience working in team environments and supporting shared infrastructure 

Bonus Points 

• Experience with modern data stack tools (dbt, Fivetran, Looker, etc.)  

• Background in machine learning infrastructure and MLOps  

• Experience with real-time analytics and event streaming architectures  

• Knowledge of data privacy frameworks (GDPR, CCPA) and implementation  

• Previous experience in high-growth or enterprise environments 

• Experience with legacy technologies such as Oracle, Sql Server, Informatica, SSIS, Business Objects 

What Success Looks Like 

First 90 Days: First 90 Days: Learn our current data architecture, understand existing systems, and begin contributing to platform improvements and maintenance tasks.  

First Year:  Take ownership of specific platform components, contribute to system reliability improvements, and support both modern and legacy infrastructure needs. 

Ongoing: Drive technical improvements within your domain expertise, support platform growth, and help bridge legacy systems with modern data architecture. 

Our Cloud Tech Stack 

Cloud & Infrastructure: AWS (EC2, EKS, RDS)  Data Technologies: Apache Kafka, Apache Airflow, SQLMESH, Snowflake Languages & Frameworks: Python, SQL, Java, Docker Monitoring & Observability: Prometheus, Grafana, DataDog  

Our Legacy Tech Stack 

Data Technologies: Apache Spark,   Databases:Oracle, Postgres, SqlServer