{"id":2513942,"url":"https://alion.io/job/sequoia-global-services-big-data-engineering-lead","title":"Big Data Engineering Lead","company":{"id":6343,"name":"Sequoia Connect","domain":"sequoia-connect.com","url":"https://alion.io/company/sequoia-global-services","size_band":"11-50","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Comeet","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mexico City, Mexico"],"countries":["MX"],"hiring_countries":["MX"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":52000,"max_usd":117000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":662},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GraphQL","optional":false},{"name":"Master Data Management","optional":false},{"name":"Platform Engineering","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-28T14:35:09Z","employer_posted_date":"2026-09-28","last_verified_at":"2026-10-15T11:57:46Z","board_verified":true,"closed_at":null,"days_open":16,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":16},"description":"Description\nAt Sequoia Connect, we are a Talent-First Technology Ecosystem that redefines how elite professionals interact with the global digital landscape. We move beyond traditional models to act as a catalyst for the top 1% of global talent, connecting human potential with complex industrial execution. By joining our inner circle, you are not simply taking a position; you are aligning with a strategic partner dedicated to updating your \"Human OS\" and accelerating your growth through world-class, high-impact projects.\nWe are currently partnering with a rapidly growing, automation-led powerhouse that serves 31 Fortune 500 companies across the financial, healthcare, and manufacturing sectors. With a global workforce of over 32,000 employees and a presence in 28 countries, our client is a titan of digital transformation. Their \"Automate Everything, Cloudify Everything\" strategy ensures you will be working at the absolute forefront of AI-driven automation and cloud solutions.\nThis is your chance to thrive in a \"Customer Success, First and Always\" environment that prizes continuous learning and radical ownership. You will collaborate within an international network of expertise across 39 delivery centers worldwide, gaining exposure to complex engineering challenges that redefine industrial standards. If you are a driven professional looking for a dynamic, forward-thinking workplace where your growth is the priority, this is where you belong.\nWe are currently searching for a Big Data Engineering Lead:\nThe Challenge (Responsibilities)\nProvide technical leadership, engineering delivery, and quality assurance for the Data Foundation platform.\nLead the team responsible for building and maintaining enterprise data pipelines, data products, canonical data models, and data services to enable analytics, AI, integration, and operational reporting.\nPartner closely with the Service Owner, Architecture Team, and Platform Engineering Lead to deliver scalable, trusted, and maintainable data solutions aligned with enterprise standards and strategic objectives.\nTake accountability for engineering execution, solution quality, operational reliability, and the development of a high-performing data engineering team.\nSuccessfully deliver Data Foundation engineering commitments while ensuring data pipeline reliability, performance, and scalability.\nDrive data quality improvements across enterprise data assets, adopt engineering standards, reduce technical debt, and improve operational stability through incident reduction.\nIncrease reuse of canonical data models, data products, and engineering frameworks.\nYour Profile (Requirements)\n8+ years of experience in data engineering, software engineering, or enterprise data platform development.\n3+ years of technical leadership experience leading engineering teams or large-scale data initiatives.\nProven experience designing and delivering enterprise data platforms, pipelines, and data products.\nExperience operating within agile software development environments.\nAdvanced SQL and data modeling expertise.\nStrong Python and PySpark development experience.\nDeep understanding of ETL and ELT architecture patterns.\nStrong technical leadership, coaching capabilities, and problem-solving skills.\nHigh-Performance Mindset: Resilience, emotional intelligence, and a focus on agile delivery.\nTechnologist DNA: A deep understanding of the difference between \"coding\" and \"engineering.\"\nDesired\nExperience implementing Master Data Management solutions.\nExperience building RESTful APIs and data services.\nFamiliarity with GraphQL and modern integration approaches.\nUnderstanding of microservices-based architectures.\nExperience implementing event-driven and real-time data processing solutions.\nStrong understanding of data quality frameworks, metadata management, and data lineage concepts.\nFamiliarity with cloud-native foundations or AI coding assistants.\nWork Arrangement We value flexibility to support your lifestyle. This position is available as:\nRemote\nIf you meet these qualifications and are pursuing new challenges, start your application on our website to join an award-winning employer. Explore all our job openings | Sequoia Career’s Page: https://www.sequoia-connect.com/careers/\nRequirements\n8+ years of experience in data engineering, software engineering, or enterprise data platform development.\n3+ years of technical leadership experience leading engineering teams or large-scale data initiatives.\nProven experience designing and delivering enterprise data platforms, pipelines, and data products.\nExperience operating within agile software development environments.\nAdvanced SQL and data modeling expertise.\nStrong Python and PySpark development experience.\nDeep understanding of ETL and ELT architecture patterns.","description_format":"text","description_chars":4798,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":3,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Continuous learning"],"hiring_locations":[{"name":"Mexico","iso":"MX","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-14T09:27:02Z"}],"visa":[],"liveness":{"score":10,"band":"cold","label":"Long shot","p_open":1,"p_active":0.276,"p_room":0.35,"age_days":16,"expected_fill_days":7,"reasons":["conf:2","agency","win:tail"],"computed_at":"2026-10-15T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/sequoia-global-services-big-data-engineering-lead","json_url":"https://alion.io/job/sequoia-global-services-big-data-engineering-lead.json","meta":{"generated_at":"2026-10-15T13:01:52Z","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":20030,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-16T00:00:00Z"}},"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":6343},"rest":"https://alion.io/mcp/rest/get_company?id=6343"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsequoia-global-services-big-data-engineering-lead"},{"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%2Fsequoia-global-services-big-data-engineering-lead"},{"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%2Fsequoia-global-services-big-data-engineering-lead"},{"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/sequoia-global-services-big-data-engineering-lead\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsequoia-global-services-big-data-engineering-lead"}]}