{"id":1191435,"url":"https://alion.io/job/mfour-vp-of-data-engineering","title":"VP of Data Engineering","company":{"id":682054,"name":"mfour","domain":"mfour.com","url":"https://alion.io/company/mfour-2","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Rippling","truth_index":null},"role":"Leadership","role_family":"Leadership","seniority":"head","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Kansas City, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":150000,"max":200000,"currency":"USD","period":"year","gross":null,"usd_annual":200000},"salary_estimate":null,"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Databricks","optional":false},{"name":"Incident Management","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"dbt","optional":true},{"name":"LLM","optional":true},{"name":"SLI/SLO/SLA","optional":true}],"status":"live","first_seen_at":"2026-09-24T15:45:54Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-10-01T06:40:32Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"Welcome to MFour\nAt MFour, we’re transforming how businesses understand consumers in an increasingly complex, AI-driven world. Founded in 2011, we are a leading consumer intelligence platform delivering validated, connected, and opt-in data that powers smarter, faster decision-making.\nWhat sets us apart is our ability to connect what consumers say with what they actually do. Through our proprietary platform, MFour Studio™ and our flagship app Surveys On The Go®, we combine survey data with real-world behaviors, creating a complete, accurate view of the consumer journey.\nWe’re also shaping the future of research through innovations like DANI™, our AI-powered assistant that enables teams to quickly analyze data, uncover insights, and take action with confidence.\nBuilt on our Fair Trade Data® model, everything we do is grounded in transparency, privacy, and trust. Today, we partner with leading global brands like Google, Microsoft, and Disney to eliminate blind spots and drive better business decisions.\nAt our core, we believe better data leads to better outcomes!\nYour Journey to Success:\nOur data is the product. Every Studio insight, every licensed data feed and every AI agent answer depends on pipelines that run on time and data that is provably correct. You will own that end to end.\nYou inherit a working platform - a verified mobile panel, behavioral app/web/location streams, a Databricks and Snowflake estate on AWS, and daily contractual feeds to data-licensing partners. Your job is to turn it into an operation that is measured, monitored, and on-call around the clock, and to build the team that runs it.\nYour Mission:\nStrategy and architecture\nOwn the Data Platform roadmap, architecture and budget across ingestion, storage, transformation and delivery.\nLead warehouse and lakehouse decisions (Snowflake, Databricks) with explicit cost, performance and lock-in trade-offs.\nDesign identity resolution that links panelists to their devices, app, web and location signals without compromising privacy.\nReliability and data quality\nSet SLAs for every production pipeline and hold the team to them.\nBuild observability: data-quality tests, lineage, freshness and volume alerts, paging for failures at any hour.\nStand up and staff a 24/7 on-call rotation for the Data Platform, integrated with incident management.\nPublish data-quality and panel-health metrics that leadership, Sales and clients can rely on.\nData products and delivery\nDeliver licensed data feeds (app, web, media, shopper, audio, social ad exposure, demographic) on contractual daily SLAs.\nSupply clean, modeled data to MFour Studio, crosstabs and our AI agents, including retrieval and evaluation datasets.\nOnboard new third-party data sources, including location data, and prove their match quality before release.\nPrivacy, security and compliance\nEnforce hashed-PII handling, retention and consent rules in the pipelines themselves, not in policy documents alone.\nPartner with Security on access control, audit logging and compliance with CCPA/CPRA and other U.S. state privacy laws.\nPeople and leadership\nHire, coach, and retain data engineers; set the bar for code review, testing and documentation.\nWork daily with Product, Engineering, Customer Success and Data Licensing; translate data risk into business terms for the executive team.\nWhat Sets You Apart\n12+ years in data engineering, including 5+ years leading data engineering teams, with managers reporting to you.\nHands-on depth in Python and SQL, and production experience with Snowflake and/or Databricks (Spark) on AWS.\nA record of running pipelines under external SLAs - data sold or delivered to customers, not only internal dashboards.\nBuilt data-quality and observability programs: automated tests, lineage, alerting, and on-call.\nShipped identity resolution or entity matching across devices, panels, or third-party datasets.\nWorked under U.S. privacy law (CCPA/CPRA) with hashed PII, consent, and retention controls.\nOwned a cloud data budget and cut costs without cutting reliability.\nExplains trade-offs plainly to executives and says no when the data is not ready.\nPreferred Skills:\nMarket research, panel, ad-tech or data-licensing background; familiarity with survey fraud and sample quality.\nMobile app, web-panel or location (SDK) data at scale.\ndbt, orchestration (Airflow, Databricks Workflows), and streaming.\nData foundations for LLM products: retrieval, evaluation sets, grounding.\nExperience leading through a warehouse migration.\nWhat success looks like\nFirst 90 days - every production pipeline has an owner, an SLA and an alert. Data quality - freshness, volume, consistency, completeness - is measured and reported to leadership weekly. A 24/7 on-call rota covers the Data Platform.\nFirst 12 months - licensed feeds hit their daily delivery SLA every day. Warehouse direction is decided and executed, with cost per query and per delivered record tracked. Panel-health metrics (fraud rate, completion rate, device-to-panelist match rate) are first-class products that Studio and Sales can cite.\nOngoing - the Data Platform is the reason clients trust MFour data over cheaper, unvalidated alternatives.\nIn return for your dedication, we offer:\nSalary\n$150,000-200,000\n\nHealth benefits\nTop-tier health benefits include: medical, dental, vision, LTD, and life insurance\nMental health benefits \n\nAdditional benefits\nUnlimited PTO \nFully equipped gym on-site (Depending on location)\nMental health benefits \nOpen space concept & team-focused atmosphere \nCompany-wide celebrations \nTeam bonding events and happy hours\n\nCHECK US OUT:https://www.youtube.com/watch?v=cabweOxGias&t=1s\nOUR APP : https://surveysonthego.com/","description_format":"text","description_chars":5692,"description_truncated":false,"requirements":{"experience_years_min":12,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Life insurance","Unlimited PTO"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Market Research"],"lifecycle":[{"event":"open","at":"2026-09-24T16:55:55Z"}],"liveness":{"score":84,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.842,"p_room":1,"age_days":6,"expected_fill_days":30,"reasons":["conf:15","win:early"],"computed_at":"2026-10-01T05:45:00Z"},"pay":{"stated_usd_annual":200000,"is_top_pay":false},"html_url":"https://alion.io/job/mfour-vp-of-data-engineering","json_url":"https://alion.io/job/mfour-vp-of-data-engineering.json","meta":{"generated_at":"2026-10-01T21:29:57Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":4149,"day_limit":5000,"remaining_today":851,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}