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Chennai · On-site · 10-13 Yrs · 4 days ago
1 views
4 open roles1 posted in 7d4 in 30d
Hiring: Engineering
Job description
Overview
We're seeking an exceptional Data Platform Engineer to shape the strategic direction and architecture of our data infrastructure.
Responsibilities
- Co-own and evolve the overall data platform architecture across all domains
- Guide the technical vision for the entire Data Engineering organization
- Drive platform initiatives that directly support the company's data strategy
- Lead the modernization of legacy systems while ensuring business continuity
- Identify and solve problems that span the entire Data Engineering org before they impact delivery
- Set the bar for excellence and serve as an inspiration across all engineering teams
- Design and drive implementation of highly scalable platform architectures for multi-TB+ daily workloads
- Author and sign off on all RFCs and technical specifications that touch your domain(s)
- Define best practices and patterns that become standard across the organization
- Build self-service infrastructure that empowers hundreds of data consumers while maintaining reliability
- Design event-driven, real-time data architectures using Kafka and stream processing at scale
- Contribute to any codebase across the organization, setting quality standards through exemplary code
- Architect comprehensive Infrastructure as Code strategies and GitOps frameworks
- Design enterprise-grade security frameworks including encryption, zero-trust access controls, and compliance
- Establish SLAs/SLOs for critical platform services and drive observability strategy
- Lead complex incident response, conduct thorough post-mortems, and implement systemic improvements
- Drive platform reliability and performance optimization initiatives
- Mentor IC9 and IC10 engineers, accelerating their technical growth and impact
- Collaborate across the entire Engineering organization as a thought partner
- Interact with executives and external stakeholders as a domain expert
- Democratize data access by empowering more teams to contribute to the data stack safely
- Identify hiring gaps and help define interview panels for critical technical roles
- Actively participate in and contribute to Data Engineering communities (conferences, Stack Overflow, vendor forums)
Qualifications
- Expert-level proficiency in SQL, Python, and at least one additional programming language
- Demonstrated mastery of object-oriented design and software engineering principles
- Deep expertise with databases across paradigms: PostgreSQL, MySQL, Snowflake, Oracle, DynamoDB, MongoDB
- Extensive Kafka ecosystem expertise: cluster management, Debezium, schema registry, Connect frameworks, stream processing
- Advanced container orchestration with Kubernetes and Docker at scale
- Expert knowledge of Infrastructure as Code, GitOps, and cloud-native architectures
- Proven track record architecting platforms processing multi-TB daily workloads
- Deep understanding of distributed systems, cloud architectures, and scalability patterns
- Expert-level experience with observability stacks (Prometheus, Grafana, ELK, Jaeger)
- Mastery of data orchestration platforms like Airflow, Prefect, or Dagster
- Demonstrated success modernizing legacy data systems while ensuring zero business disruption
- 10-15+ years of professional experience in data platform engineering or related field
- Track record of leading complex, org-wide technical initiatives
- History of driving architectural decisions that scale across large organizations
- Deep expertise with both modern and legacy technologies (Oracle, SQL Server, Informatica, SSIS, Business Objects)
- Proven ability to influence technical direction across multiple teams and domains
- Excellence in mentoring senior engineers and accelerating their growth
- Strong executive presence and ability to communicate complex technical concepts to all levels
- Comfortable operating in high ambiguity and defining problems before solving them
- Track record of building collaborative relationships across engineering and business organizations
- Recognition as a thought leader in the Data Engineering community
Nice to have
- Deep experience with modern data stack tools (dbt, Looker, etc.)
- Machine learning infrastructure and MLOps architecture expertise
- Contributions to open-source data infrastructure projects
- Published technical articles, conference talks, or thought leadership in data platforms
- Expert knowledge of data privacy frameworks (GDPR, CCPA) and implementation at scale
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Job application FAQ
Last updated 27 October 2026
- How do I apply for Lead Data Platform Engineer at Gen?
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- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Lead Data Platform Engineer remote or on-site in Chennai, Tamil Nadu?
- This listing is marked on_site with location Chennai, Tamil Nadu. Confirm details on the job description before applying.
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- This is a lead Lead Data Platform Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.