Muttdata - Data & Martech Specialist
Requirements
• 5+ years in MarTech or customer data, in a consultancy, agency, vendor professional services team, or an in-house marketing technology role. • Hands-on depth in at least one tool from each layer: a packaged CDP (Adobe Real-Time CDP, Salesforce Data Cloud, Segment, Tealium), a composable CDP or reverse ETL tool (Hightouch, Census, Amperity), and an activation platform (Braze, Salesforce Marketing Cloud, Iterable, Klaviyo). • A real point of view on the landscape: you can tell a client when a packaged CDP is the right call and when it isn't, and back it up with projects you have delivered. • Solid data fundamentals: you write SQL, understand data modeling, identity resolution, event schemas and APIs, and you are comfortable working in a lakehouse or cloud data warehouse. • Production experience: you have run these platforms at scale, with millions of profiles, many channels, and real consent and privacy requirements (GDPR, CCPA, local LATAM laws). • Client presence: you explain technical trade-offs to a CMO and a CTO in the same meeting. • Professional English, written and spoken. Most of our work is documented in writing and many clients are in the US. • Hands-on work with Databricks, especially as the customer data foundation behind activation tools. • Certifications in Adobe Experience Platform, Salesforce Data Cloud or Marketing Cloud, Braze, or Hightouch. • Experience with paid media data: audience syncs to Google and Meta, conversion APIs, clean rooms, retail media. • Exposure to measurement: attribution, marketing mix models, incrementality tests. • Experience in retail, e-commerce or financial services.
Responsibilities
• Design the stack: help clients choose between packaged CDPs, composable CDPs and a lakehouse-native approach, and explain the trade-offs in plain terms: cost, time to value, identity, governance and lock-in. • Build it: configure and integrate CDPs (Adobe Real-Time CDP, Salesforce Data Cloud), composable tools (Hightouch, Census, Amperity) and activation platforms (Braze, Salesforce Marketing Cloud, Iterable). • Set up identity resolution, audiences, consent, event tracking and reverse ETL. • Connect it to the data foundation: work with our data engineers and ML experts to model customer data in Databricks or other cloud platforms, feed it to activation tools, and close the loop with campaign results. • Run it at scale: define how these platforms operate in production, including data quality, monitoring, cost control, governance and the team workflows around them. • Bring AI into activation: put our propensity, LTV, churn and next-best-action models to work inside real journeys and campaigns. • Shape what we sell: join discovery calls, scope projects, write proposals, and help us turn repeat work into reusable accelerators and offerings.
Benefits
• 🌍 Remote-first culture – work from anywhere! • 🚀 In-Company English Lessons. • 💪 Wellhub or sports club stipend to stay active • 🚀 AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered • 🍕 Food credits via Pedidos Ya – because great work deserves great food. • 🎂 Birthday off + an extra vacation week (Mutt Week! 🏖️) • 🤝 Referral bonuses – help us grow the team & get rewarded! • ✈️🏝️ Annual Mutters' Trip – an unforgettable getaway with the team! • 👶 Monthly Childcare Reimbursement – Because supporting families matters too
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