{"id":2061647,"url":"https://alion.io/job/agilent-technologies-analytics-engineering-lead","title":"Analytics Engineering Lead","company":{"id":6171,"name":"Agilent Technologies","domain":"agilent.com","url":"https://alion.io/company/agilent-technologies","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":81,"open_postings":48,"ghost_share":0,"stale_share":0.771,"repost_share":0,"time_to_fill_p50_days":27,"computed_at":"2026-10-13T05:45:00Z"}},"role":"Management","role_family":"Management","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":["Santa Clara, United States","George Town, Malaysia","Wilmington, United States","Singapore","Folsom, United States","United States"],"countries":["US","MY","SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":86000,"max_usd":205000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":2287},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"CI/CD","optional":false},{"name":"Confluence","optional":false},{"name":"Databricks","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"GitHub","optional":false},{"name":"Jira","optional":false},{"name":"Machine Learning","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-07T00:00:00Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-13T05:33:36Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"Job Description\nThe Analytics Engineering Lead, within the Operations Intelligence & Analytics organization, orchestrates the transformation of complex, raw data into trusted, business-ready data assets that power executive dashboards, performance metrics and advanced analytics across Global Operations. Working at the intersection of data engineering and business analytics, this role applies modern software engineering and data modeling practices to develop enterprise-grade data products that support decision-making across Global Operations while advancing the maturity of the organization's data lakehouse ecosystem.\nAs a key partner to leaders across Supply Chain, Manufacturing, Quality, Regulatory Affairs, and other Global Operations functions, the Analytics Engineering Lead combines deep technical expertise with strong business acumen to translate strategic priorities into reusable, high-value data solutions. Through close collaboration with cross-functional stakeholders, this role enables scalable analytics, strengthens data foundations, and accelerates the organization's digital, AI, and data science capabilities.\nResponsibilities:\nPartner with IT, enterprise architecture, and platform enablement teams to scale the Global Operations enterprise data lakehouse and reporting ecosystem.\nOwn the Global Operations analytical data architecture, including silver and gold-layer data products, dimensional models, semantic assets, and integration patterns aligned with enterprise standards.\nDesign and build cleansed, conformed, and consumption-ready data products that integrate data across enterprise systems and support executive reporting, analytics, and decision intelligence.\nDevelop and govern certified semantic models, standardized KPI frameworks, and reusable business logic that establish a single source of truth for performance measurement across Global Operations.\nImplement data governance practices including data quality controls, reconciliation, metadata, lineage, certification, and ownership standards to ensure trusted reporting assets.\nAutomate and optimize data transformation workflows using SQL, Python, PySpark, and cloud-native data engineering services.\nEstablish DataOps and platform management practices including source control, automated testing, CI/CD, monitoring, performance optimization, security controls, and production support.\nDesign AI-ready data products and knowledge assets that support advanced analytics, machine learning, generative AI, and decision intelligence capabilities.\nQualifications\nBachelor's degree in Data Engineering, Data Science, Computer Science, Statistics, or a related field, or equivalent professional experience; Master's degree preferred.\n8+ years of experience in analytics engineering, data modeling, data warehousing, or data platform development, with deep expertise in dimensional modeling and modern data architectures.\nExpert-level SQL and strong proficiency in Python/PySpark, with experience building scalable data pipelines, lakehouse architectures, and governed data products.\nHighly experienced with modern cloud data platforms such as Microsoft Fabric, Databricks, Snowflake, or equivalent technologies, including orchestration and transformation frameworks.\nDemonstrated experience architecting enterprise data products, governance frameworks, and reusable analytical assets, including KPI frameworks, metadata, and data quality controls, to support scalable analytics, machine learning, AI solutions.\nStrong understanding of ERP and operational business processes, including SAP ECC data structures and modules such as MM, PP, QM, and SD; familiarity with Oracle Agile PLM is preferred.\nAbility to influence technical and business stakeholders and communicate architectural concepts across a matrixed organization.\nExperience leveraging DevOps and collaboration platforms, including GitHub, Confluence, and Jira, to support agile delivery, version control, documentation, and product lifecycle management.\nPreferred Qualifications:\nPrevious experience supporting global supply chain, manufacturing, quality, or regulatory operations in a complex enterprise environment.\nExperience supporting ERP modernization initiatives, including legacy ERP environments, system consolidations, data migrations, and transformation of enterprise data assets to modern analytics platforms.\nExperience driving adoption of enterprise data products, governance practices, and self-service analytics capabilities.\nRelevant Microsoft Fabric, cloud or data engineering certifications such as MS DP-600 or MS DP-700.\nAdditional Details\nThis job has a full time weekly schedule. Applications for this job will be accepted until at least October 14, 2026 or until the job is no longer posted.The full-time equivalent pay range for this position is $143,760.00 - $269,550.00/yr plus eligibility for bonus, stock and benefits. Our pay ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. During the hiring process, a recruiter can share more about the specific pay range for a preferred location. Pay and benefit information by country are available at: https://careers.agilent.com/locationsAgilent Technologies, Inc. is an Equal Employment Opportunity and merit-based employer that values individuals of all backgrounds at all levels. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to sex, pregnancy, race, religion or religious creed, color, gender, gender identity, gender expression, national origin, ancestry, physical or mental disability, medical condition, genetic information, marital status, registered domestic partner status, age, sexual orientation, military or veteran status, protected veteran status, or any other basis protected by federal, state, local law, ordinance, or regulation and will not be discriminated against on these bases. Agilent Technologies, Inc., is committed to creating and maintaining an inclusive in the workplace where everyone is welcome, and strives to support candidates with disabilities. If you have a disability and need assistance with any part of the application or interview process or have questions about workplace accessibility, please email  or contact +1-262-754-5030. For more information about equal employment opportunity protections, please visit www.agilent.com/en/accessibility.Travel Required:\n10% of the TimeShift:\nDayDuration:\nNo End DateJob Function:\nAdministration","description_format":"text","description_chars":6709,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Education","Telecommunications","Network Interconnect"],"lifecycle":[{"event":"open","at":"2026-10-08T02:14:28Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 35 · green card filings: 12","filings_12m":35,"filings_prev_12m":51,"green_card_filings_12m":12,"median_offered_wage_usd":166117,"route":null,"cap_exempt":false,"checked_at":"2026-10-03T21:08:04+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":0}],"liveness":{"score":67,"band":"ok","label":"Likely open","p_open":1,"p_active":0.675,"p_room":1,"age_days":6,"expected_fill_days":27,"reasons":["conf:0","stale_co","urgency","velocity","win:early","comp:brand"],"computed_at":"2026-10-13T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/agilent-technologies-analytics-engineering-lead","json_url":"https://alion.io/job/agilent-technologies-analytics-engineering-lead.json","meta":{"generated_at":"2026-10-13T05:52:41Z","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":9091,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-14T00:00:00Z"}},"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":6171},"rest":"https://alion.io/mcp/rest/get_company?id=6171"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fagilent-technologies-analytics-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%2Fagilent-technologies-analytics-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%2Fagilent-technologies-analytics-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/agilent-technologies-analytics-engineering-lead\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fagilent-technologies-analytics-engineering-lead"}]}