{"id":10159,"url":"https://alion.io/job/gendigital-lead-data-platform-engineer","title":"Lead Data Platform Engineer","company":{"id":3431,"name":"Gen Digital","domain":"gendigital.com","url":"https://alion.io/company/gendigital","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":79,"open_postings":25,"ghost_share":0,"stale_share":0.6,"repost_share":0.04,"time_to_fill_p50_days":61,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India","Chennai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":28000,"max_usd":49000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":16},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Dagster","optional":false},{"name":"Docker","optional":false},{"name":"DynamoDB","optional":false},{"name":"GitOps","optional":false},{"name":"Grafana","optional":false},{"name":"Informatica","optional":false},{"name":"Jaeger","optional":false},{"name":"Kubernetes","optional":false},{"name":"MySQL","optional":false},{"name":"Platform Engineering","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prefect","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"SAP BusinessObjects","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"SSIS","optional":false},{"name":"Zero Trust","optional":false},{"name":"Amazon EC2","optional":true},{"name":"Amazon EKS","optional":true},{"name":"AWS","optional":true},{"name":"Datadog","optional":true},{"name":"dbt","optional":true},{"name":"GDPR","optional":true},{"name":"Java","optional":true},{"name":"Looker","optional":true},{"name":"Machine Learning","optional":true},{"name":"Scala","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-05-28T04:33:45Z","employer_posted_date":"2026-05-28","last_verified_at":"2026-10-17T22:56:13Z","board_verified":true,"closed_at":null,"days_open":142,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":142},"description":"About This Role\nWe're seeking an exceptional Data Platform Engineer to shape the strategic direction and architecture of our data infrastructure. This is a high-visibility, high-impact role where you'll co-own the overall platform architecture, set technical standards across the entire Data Engineering organization, and drive initiatives that directly impact our data strategy. You'll be a force multiplier-inspiring teams, mentoring senior engineers, and making architectural decisions that affect how the entire organization builds and operates data systems. We are in the midst of transforming our legacy infrastructure into a modern cloud-first platform, and you'll be instrumental in leading this technical evolution.\nWhat You'll Do\nStrategic Platform Leadership\nCo-own and evolve the overall data platform architecture across all domains\nGuide the technical vision for the entire Data Engineering organization\nDrive platform initiatives that directly support the company's data strategy\nLead the modernization of legacy systems while ensuring business continuity\nIdentify and solve problems that span the entire Data Engineering org before they impact delivery\nSet the bar for excellence and serve as an inspiration across all engineering teams\nArchitecture & Technical Excellence\nDesign and drive implementation of highly scalable platform architectures for multi-TB+ daily workloads\nAuthor and sign off on all RFCs and technical specifications that touch your domain(s)\nDefine best practices and patterns that become standard across the organization\nBuild self-service infrastructure that empowers hundreds of data consumers while maintaining reliability\nDesign event-driven, real-time data architectures using Kafka and stream processing at scale\nContribute to any codebase across the organization, setting quality standards through exemplary code\nPlatform Engineering Excellence\nArchitect comprehensive Infrastructure as Code strategies and GitOps frameworks\nDesign enterprise-grade security frameworks including encryption, zero-trust access controls, and compliance\nEstablish SLAs/SLOs for critical platform services and drive observability strategy\nLead complex incident response, conduct thorough post-mortems, and implement systemic improvements\nDrive platform reliability and performance optimization initiatives\nInfluence & Enablement\nMentor IC9 and IC10 engineers, accelerating their technical growth and impact\nCollaborate across the entire Engineering organization as a thought partner\nInteract with executives and external stakeholders as a domain expert\nDemocratize data access by empowering more teams to contribute to the data stack safely\nIdentify hiring gaps and help define interview panels for critical technical roles\nActively participate in and contribute to Data Engineering communities (conferences, Stack Overflow, vendor forums)\nWhat You Bring\nDeep Technical Expertise\nExpert-level proficiency in SQL, Python, and at least one additional programming language\nDemonstrated mastery of object-oriented design and software engineering principles\nDeep expertise with databases across paradigms: PostgreSQL, MySQL, Snowflake, Oracle, DynamoDB, MongoDB\nExtensive Kafka ecosystem expertise: cluster management, Debezium, schema registry, Connect frameworks, stream processing\nAdvanced container orchestration with Kubernetes and Docker at scale\nExpert knowledge of Infrastructure as Code, GitOps, and cloud-native architectures\nPlatform Engineering Mastery\nProven track record architecting platforms processing multi-TB daily workloads\nExperience designing and operating systems supporting hundreds of concurrent users\nDeep understanding of distributed systems, cloud architectures, and scalability patterns\nExpert-level experience with observability stacks (Prometheus, Grafana, ELK, Jaeger)\nMastery of data orchestration platforms like Airflow, Prefect, or Dagster\nDemonstrated success modernizing legacy data systems while ensuring zero business disruption\nExperience & Background\n10-15+ years of professional experience in data platform engineering or related field\nTrack record of leading complex, org-wide technical initiatives\nHistory of driving architectural decisions that scale across large organizations\nExperience in high-growth or large enterprise environments\nDeep expertise with both modern and legacy technologies (Oracle, SQL Server, Informatica, SSIS, Business Objects)\nLeadership & Influence\nProven ability to influence technical direction across multiple teams and domains\nExcellence in mentoring senior engineers and accelerating their growth\nStrong executive presence and ability to communicate complex technical concepts to all levels\nComfortable operating in high ambiguity and defining problems before solving them\nTrack record of building collaborative relationships across engineering and business organizations\nRecognition as a thought leader in the Data Engineering community\nBonus Points\nDeep experience with modern data stack tools (dbt, Looker, etc.)\nMachine learning infrastructure and MLOps architecture expertise\nContributions to open-source data infrastructure projects\nPublished technical articles, conference talks, or thought leadership in data platforms\nExpert knowledge of data privacy frameworks (GDPR, CCPA) and implementation at scale\nWhat Success Looks Like\nFirst 90 Days: Understand our architecture deeply, identify systemic opportunities and risks, and begin influencing key technical decisions. Establish yourself as a go-to expert in your domain(s).\nFirst Year: Drive at least one major architectural initiative that impacts the entire Data Engineering organization. Establish yourself as a trusted advisor to leadership and a mentor to senior engineers. Author multiple RFCs that set new standards.\nOngoing: Continuously shape the technical direction of the organization, mentor the next generation of technical leaders, and maintain your position as one of the most knowledgeable experts in your domain(s) both internally and in the broader Data Engineering community.\nOur Tech Stack\nCloud & Infrastructure: AWS (EC2, EKS, RDS, extensive cloud-native services)\nData Technologies: Apache Kafka, Apache Airflow, SQLMESH, Snowflake, dbt\nLanguages & Frameworks: Python, SQL, Java, Scala, Docker, Kubernetes\nMonitoring & Observability: Prometheus, Grafana, DataDog, ELK Stack, Jaeger\nLegacy Technologies: Apache Spark, Oracle, Postgres, SqlServer, Informatica, SSIS, Business Objects","description_format":"text","description_chars":6458,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Identity Management","Endpoint Security","Consumer & Utility Software"],"lifecycle":[{"event":"open","at":"2026-05-28T04:33:45Z"}],"visa":[],"liveness":{"score":12,"band":"cold","label":"Long shot","p_open":1,"p_active":0.438,"p_room":0.28,"age_days":142,"expected_fill_days":61,"reasons":["conf:2","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/gendigital-lead-data-platform-engineer","json_url":"https://alion.io/job/gendigital-lead-data-platform-engineer.json","meta":{"generated_at":"2026-10-17T23:47:22Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":2184,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":3431},"rest":"https://alion.io/mcp/rest/get_company?id=3431"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fgendigital-lead-data-platform-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fgendigital-lead-data-platform-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fgendigital-lead-data-platform-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/gendigital-lead-data-platform-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fgendigital-lead-data-platform-engineer"}]}