{"id":1940611,"url":"https://alion.io/job/ringcentral-sr-manager-data-engineering","title":"Sr. Manager - Data Engineering","company":{"id":58779,"name":"RingCentral","domain":"ringcentral.com","url":"https://alion.io/company/ringcentral","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":80,"open_postings":14,"ghost_share":0,"stale_share":0.786,"repost_share":0,"time_to_fill_p50_days":33,"computed_at":"2026-10-08T05:49:30Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Manila, Philippines"],"countries":["PH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":52000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1839},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Amazon S3","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Hadoop","optional":false},{"name":"Incident Management","optional":false},{"name":"Jenkins","optional":false},{"name":"LLM","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Scrum","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Tool Use","optional":false}],"status":"live","first_seen_at":"2026-10-06T02:36:50Z","employer_posted_date":"2026-10-06","last_verified_at":"2026-10-08T22:09:34Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Senior Manager - Data Engineering\nSay hello to opportunities.\nIf you’re looking to be part of what’s next in communication, you’re in the right place.\nAt RingCentral, we believe the best customer experiences happen when humans and AI work together. Our agentic voice AI portfolio-AIR, AVA, and ACE-brings together automation, assistance, and insights across the entire conversation lifecycle. The result? More seamless, intelligent experiences for businesses everywhere.\nWith $2.5B+ in ARR and $250M invested in R&D annually, we’re building the future of AI-powered business communications.\nThis is where you and your skills come in. We’re currently looking for:\nWe are looking for a Senior Manager of Data Engineering to lead a team of data engineers, from junior to senior level, responsible for building and scaling the data infrastructure that powers RingCentral's revenue platform. This role owns the design, development, and delivery of a revenue data mart into a reliable, well-governed source of truth for finance, sales, and executive reporting.\nThis is a hands-on leadership role: you'll set technical direction, mentor and grow engineers at all levels, and partner closely with Finance, Revenue Operations, Analytics, and Product stakeholders to ensure the data mart meets business needs for accuracy, timeliness, and scalability.\nResponsibilities:\nLead, mentor, and grow a team of data engineers spanning junior to senior levels, including hiring and performance management.\nOwn the technical strategy and roadmap for the revenue data mart, supporting revenue recognition, billing, forecasting, and executive reporting.\nArchitect and oversee data pipelines integrating and transforming data across Hadoop, Oracle, Snowflake, AWS S3, and PostgreSQL.\nEnsure reliable data integration with business systems such as Marketo, Salesforce, Anaplan, and NetSuite, maintaining consistency across the revenue lifecycle.\nPartner with BI teams to structure the data mart for reporting and dashboarding in tools such as Tableau and Sigma.\nIdentify opportunities to apply ML/AI techniques (e.g., anomaly detection, forecasting) to improve pipeline reliability and revenue insights.\nDrive engineering best practices: data modeling, ETL/ELT design, orchestration, testing, CI/CD, and data quality/observability.\nPartner with Finance, Revenue Operations, and Analytics to translate business requirements into scalable data solutions.\nManage sprint planning, prioritization, and delivery using Agile/Scrum practices.\nEstablish and enforce data governance, security, and compliance standards (e.g., SOX considerations).\nOptimize pipeline performance and cost across on-prem (Hadoop, Oracle) and cloud (Snowflake, AWS) environments.\nOwn incident management and root-cause resolution for pipeline issues impacting revenue reporting.\nEvaluate and introduce new tools and architectural patterns to modernize the data platform.\nCommunicate progress, risks, and technical tradeoffs to senior leadership and non-technical stakeholders.\nQualifications:\n10+ years of experience in data engineering, with 3+ years in a management or technical leadership role.\nProven experience managing a team of data engineers across varying experience levels.\nHands-on expertise with Hadoop ecosystem tools (Hive, Spark, HDFS), Oracle, Snowflake, AWS S3, and PostgreSQL.\nStrong background building data marts or warehouses, ideally supporting finance or revenue use cases.\n Deep understanding of ETL/ELT design, dimensional data modeling, and orchestration tools (e.g., Airflow, Control-M).\nSolid grasp of SQL performance tuning and large-scale data processing.\nStrong experience in Python for data pipeline development, automation, and data processing.\n Experience with cloud data architecture and cost/performance optimization on AWS.\nExcellent stakeholder management skills across Finance, Analytics, and Engineering.\nExperience with Agile/Scrum delivery.\nWorking knowledge of business systems that feed or consume revenue data, such as Marketo, Salesforce, Anaplan, and NetSuite.\nFamiliarity with BI tools such as Tableau and Sigma, and how data mart design impacts downstream reporting.\nGeneral knowledge of ML/AI concepts (e.g., predictive models, anomaly detection) and how they apply to data pipelines and analytics; hands-on ML development is not required.\nSome experience with agentic AI (e.g., LLM-based agents, tool-calling workflows, or agent frameworks) and how it can be applied to data engineering and analytics workflows.\nPreferred:\nExperience with revenue recognition, billing systems, or subscription/SaaS revenue data.\nFamiliarity with data governance, lineage, and cataloging tools.\nExperience with CI/CD for data pipelines (e.g., dbt, Jenkins, GitHub Actions).\nBackground in a high-growth SaaS or telecom environment.\nExperience migrating on-prem systems (Hadoop/Oracle) to cloud-native platforms (Snowflake/AWS).\nDirect experience building integrations from Marketo, Salesforce, Anaplan, or NetSuite into a data warehouse.\nExperience incorporating ML/AI capabilities into data platforms, such as automated data quality checks or forecasting models.\nTeam & Scope\nDirect management of a team of data engineers (Junior to Senior level).\nPrimary mandate: build and maintain the data mart supporting RingCentral's revenue platform.\nCore technology stack: Hadoop, Oracle, Snowflake, AWS S3, PostgreSQL.\nKey connected business systems: Marketo, Salesforce, Anaplan, NetSuite, and other revenue-adjacent platforms.\nDownstream BI/reporting tools: Tableau, Sigma.\nWhat we offer:\nComprehensive HMO package (medical and dental) \nPaid time off and paid sick leave \nQuarterly Performance Bonus \nEmployee Assistance and Wellness Programs \nRingCentral’s work culture is the backbone of our success. And don’t just take our word for it: we are recognized as a Best Place to Work by BuiltIn, the Top Work Culture by Comparably and hold local BPTW awards in every major location. Bottom line: We are committed to hiring and retaining great people because we know you power our success.\nAbout RingCentral/Acquire Intelligence\nRingCentral is a global leader in agentic voice AI-powered business communications, delivering an integrated platform for business phone, SMS, contact center, workforce engagement management, video collaboration, and messaging. As the communications layer connecting businesses and customers, RingCentral is the front door of business communication and is in the advantageous position to apply AI at every phase of the conversation journey - before, during, and after each interaction. Our agentic AI portfolio includes autonomous voice-first AI agents that automate calls, assist in the moment, and analyze every interaction - enabling businesses to work smarter, respond faster, and connect more meaningfully with their customers. Visit ringcentral.com to learn more.\nRingCentral is an equal opportunity employer that truly values diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to providing reasonable accommodations for individuals with disabilities during our application and interview process. If you require such accommodations, please click on the following link to learn more about how we can assist you.\nAcquire Intelligence transforms the way companies grow and operate by combining intelligent global outsourcing with AI consulting and implementation to accelerate growth and transform business at scale.\nWe eliminate inefficiencies, automate with intent, and reallocate work to where it performs best. With 9,000 employees across Australia, the Philippines, the Dominican Republic, and the United States, we provide secure and scalable solutions in customer experience, back office, and digital operations.\nFounded in 2006, Acquire offers flexible delivery models ranging from building Remote Teams to comprehensive outsourcing in both onshore and offshore locations. Our AI division accelerates\ntransformation with automation strategies that deliver guaranteed ROI. All solutions are backed by deep expertise and enterprise grade compliance.\nAt Acquire Intelligence, we are Safe, Flexible, and Innovative. We deliver transformation with intent, impact, and entrepreneurial energy.\nBy completing your application for this role, you:\nAgreed that the information collected through this site will only be processed with your prior consent and for the purpose of facilitating your employment opportunities\nHave read and agreed to our Data Privacy Policy","description_format":"text","description_chars":8606,"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":["Wellness"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Cybersecurity","Call Center Services","Contact Center Software"],"lifecycle":[{"event":"open","at":"2026-10-06T02:36:50Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":2,"expected_fill_days":33,"reasons":["conf:4","stale_co","velocity","win:early"],"computed_at":"2026-10-08T05:49:30Z"},"pay":null,"html_url":"https://alion.io/job/ringcentral-sr-manager-data-engineering","json_url":"https://alion.io/job/ringcentral-sr-manager-data-engineering.json","meta":{"generated_at":"2026-10-09T02:23:27Z","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","counted_by":"address","units_charged":1,"used_today":240,"day_limit":5000,"remaining_today":4760,"minute_limit":60,"resets_at":"2026-10-10T00:00:00Z"}},"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":58779},"rest":"https://alion.io/mcp/rest/get_company?id=58779"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fringcentral-sr-manager-data-engineering"},{"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%2Fringcentral-sr-manager-data-engineering"},{"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%2Fringcentral-sr-manager-data-engineering"},{"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/ringcentral-sr-manager-data-engineering\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fringcentral-sr-manager-data-engineering"}]}