{"id":2491177,"url":"https://alion.io/job/google-operations-center-data-engineer-lead-webops-web-analytics","title":"Data Engineer Lead - WebOps - Web Analytics","company":{"id":4416636,"name":"Google Operations Center","domain":"googleoperationscenter.com","url":"https://alion.io/company/googleoperationscenter","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"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":["India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":27000,"max_usd":48000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":16},"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"BigQuery","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Java","optional":false},{"name":"LLM","optional":false},{"name":"Looker","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"AI Agents","optional":true},{"name":"Google ADK","optional":true},{"name":"Vertex AI","optional":true}],"status":"live","first_seen_at":"2026-09-21T00:00:00Z","employer_posted_date":"2026-09-21","last_verified_at":"2026-10-14T13:16:18Z","board_verified":true,"closed_at":null,"days_open":23,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":23},"description":"Join Us!\nAt Google Operations Center we help Google users and customers solve problems and achieve their goals-all while enjoying a culture focused on improving continuously and being better together. We work hard, we play hard, and we want you to join us!\nAs a Data Engineering Lead, you will lead a high-performing team of Data Engineers and Web Analytics Engineers, collaborating directly with Business stakeholders and product marketers. Your goal would be to ensure seamless data flow of website analytics into Google Cloud Platform.\nThis role offers the unique opportunity to design innovative data solutions and solve complex scalability challenges using large-scale production data infrastructure, while pioneering our team's LLM and Generative AI initiatives.\nPosition Responsibilities:\nLead, mentor, and code-review a team of Data Engineers and Web Analytics Engineers. Foster a culture of technical excellence, continuous learning, and agile delivery utilizing Advanced SQL, BigQuery, Java & Python\n\nOversee the end-to-end design, development, and optimization of scalable data warehouses and pipelines (ETL/ELT). Act as the hands-on authority for orchestrating data workflows via Google Cloud Infrastructure especially BigQuery & Dataflow\n\nOwn the integrity and scalability of our distributed data processing systems within Google Cloud Platform (GCP), leveraging various NoSQL databases to maintain high performance.\n\nArchitect the technical translation of high-level business requirements into scalable AI and data solutions, ensuring seamless alignment across cross-functional engineering teams.\n\nPartner with business pillars to prioritize product initiatives, resolve technical bottlenecks, and deliver impactful enterprise dashboards via tools like Looker.\n\nMinimum Qualifications:\n12+ years of hands-on experience designing, testing, optimizing, and troubleshooting enterprise-grade ETL/ELT solutions.\n\n4+ years of hands on experience with GCP infrastructure, BigQuery and Cloud Dataflow.\n\n3+ years of experience working with OLAP systems, advanced SQL, and data modeling.\n\nProven track record of managing technical teams, driving agile sprints, and managing multiple complex data projects in a fast-paced environment.\n\nExceptional communication and interpersonal skills, with the ability to articulate complex technical concepts to non-technical stakeholders.\n\nPreferred Qualifications:\nDeep expertise in Google Cloud Platform (GCP) or similar large-scale distributed data infrastructure.\n\nStrong understanding of the AI toolkits similar to ADK, Anti Gravity, Vertex AI Agent Engine etc.\n\nStrong experience designing data warehouses tailored specifically for business performance management.\n\nBachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related quantitative field.\n\nBenefits\nWe support you with competitive wages and with comprehensive health care including medical, dental and vision coverage\n\nWe support your family with gender-neutral baby bonding leave, 26 week birth-parent maternity leave, and generous life, accident and disability insurance minimums\n\nEmployees who work onsite can enjoy free meals and snacks, and fun onsite experiences\n\nInformation collected and processed as part of your Google Operations Center (GOC) jobs profile, and any job applications you choose to submit, is subject to GOC's Applicant and Candidate Privacy Policy.\nGoogle Operations Center (GOC) is committed to equal employment opportunities regardless of race, creed, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status or any other basis protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.\nTo ensure a barrier-free interview, please mention any required assistance or specific arrangements in your application and confirm them with your recruiter.\nTo all recruitment agencies: Google Operations Center (GOC) does not accept agency resumes. Please do not forward resumes to our jobs alias, GOC employees, or any other organization location. GOC is not responsible for any fees related to unsolicited resumes.\nThanks for your interest in this opportunity! Our recruitment team will contact you if your profile is a good fit for the role. If you don't hear from us within 2-3 weeks, please consider your application unsuccessful at this time. We value your patience throughout this time. For any questions, feel free to reach out to us at .","description_format":"text","description_chars":4614,"description_truncated":false,"requirements":{"experience_years_min":12,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-14T02:33:55Z"}],"visa":[],"liveness":{"score":57,"band":"ok","label":"Likely open","p_open":1,"p_active":0.754,"p_room":0.75,"age_days":23,"expected_fill_days":32,"reasons":["conf:4","win:late"],"computed_at":"2026-10-14T06:34:16Z"},"pay":null,"html_url":"https://alion.io/job/google-operations-center-data-engineer-lead-webops-web-analytics","json_url":"https://alion.io/job/google-operations-center-data-engineer-lead-webops-web-analytics.json","meta":{"generated_at":"2026-10-14T19:43:58Z","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":25983,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-15T00:00:00Z"}},"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":4416636},"rest":"https://alion.io/mcp/rest/get_company?id=4416636"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fgoogle-operations-center-data-engineer-lead-webops-web-analytics"},{"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%2Fgoogle-operations-center-data-engineer-lead-webops-web-analytics"},{"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%2Fgoogle-operations-center-data-engineer-lead-webops-web-analytics"},{"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/google-operations-center-data-engineer-lead-webops-web-analytics\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fgoogle-operations-center-data-engineer-lead-webops-web-analytics"}]}