EdTech Jobs
Famly

Senior Martech & Data Manager

Famly
🇩🇪In-Person - Berlin€65K–€85K/yri8h ago
Prep for this Role

Summary

Senior Martech & Data Manager who designs and owns the complete marketing data infrastructure, transforming data chaos into competitive advantage by connecting web tracking, data warehouses, and insights to enable fast, data-driven marketing decisions.

Key Responsibilities: Design marketing data architecture and models, own the martech stack (GTM, GA4, HubSpot, ad platforms), implement advanced tracking and integrations, build self-service dashboards and attribution models, and serve as technical liaison between marketing, data engineering, and analytics teams.
Skills & Tools: Expert proficiency in marketing technology stack (GTM, GA4, HubSpot, Meta/Google/LinkedIn platforms), data architecture and SQL, server-side tracking implementation, API integrations, dashboard design, attribution modeling, and strong cross-functional communication abilities to translate between technical and non-technical stakeholders.
Qualifications: 5+ years in martech, marketing analytics, or data engineering roles with demonstrated expertise in marketing data infrastructure and advanced tracking implementations; bachelor's degree in relevant field or equivalent professional experience.
Location: Berlin, Germany
Compensation: Not provided by employer. Typical compensation for this role is €65,000 – €95,000/year based on title, seniority, and location.

Job Description

You're the technical architect who transforms our marketing data chaos into a competitive advantage. You'll own the complete infrastructure that connects web → tracking → data warehouse → insights, building the systems that enable the marketing team to make fast, data-driven decisions without waiting on IT tickets.

This isn't about maintaining tools -it's about architecting how we collect, structure, and leverage marketing data to drive revenue growth. You're the bridge between marketing strategy and technical execution, translating "we need better attribution" into server-side tracking implementations that actually work.

🧐 The Problem You'll Solve

Right now, our marketing team can't get the data they need when they need it, without spending time building ad-hoc reports.

  • Analytics isn't self-service-every question requires engineering time

  • We lack proper data architecture for marketing attribution and optimization

  • Advanced martech capabilities (server-side GTM, conversions APIs, offline events) aren't implemented

  • Marketing can't clearly communicate technical needs to data engineers: we know what we can’t measure but we can’t explain why

  • We're not systematically leveraging AI and automation to scale

You're the person who fixes this-permanently.

🤗 What You'll Own

Marketing Data Architecture

  • Design the complete marketing data model from web interactions through GA4, GTM, ad platforms, and into our data warehouse

  • Define data structures, taxonomies, and schemas that enable self-service analytics

  • Architect data flows that support real-time optimization and automated decision-making

  • Partner with data engineers-you spec exactly what marketing needs, they build it

  • Document everything so the team can find answers independently

Martech Stack Mastery

  • Own and optimize our complete stack: GTM (client + server-side), GA4, HubSpot, ad platforms (Meta, Google, LinkedIn), Stape, SEMrush, Search Console, consent management

  • Implement advanced tracking: Meta Conversions API, Google Ads offline conversions, enhanced conversions, server-side tagging infrastructure

  • Build and maintain integrations that ensure seamless data flow across systems

  • Troubleshoot technical issues and maintain 99%+ uptime on critical infrastructure

Analytics Enablement

  • Build dashboards and measurement frameworks that answer the team's top questions

  • Design attribution models that accurately represent marketing impact

  • Create data structures enabling rapid experimentation and testing

  • Translate business questions into technical requirements

  • Ensure data quality through monitoring and governance

AI & Automation

  • Continuously evaluate and implement AI tools for optimization, personalization, and efficiency

  • Build automation workflows that scale marketing without linear headcount growth

  • Stay ahead of martech trends and bring innovation to the team

Cross-Functional Technical Translation

  • Be the liaison between marketing, data engineering, analytics, and HubSpot architects

  • Translate marketing needs into crystal-clear technical specs

  • Explain technical constraints to non-technical stakeholders in plain language

  • Drive projects to completion across functional boundaries

🚀 What Success Looks Like

Data-Driven Decisions Enabled

  • Marketing team answers 80% of questions independently through self-service dashboards

  • Attribution and performance data flows in real-time, not days later

  • Clear documentation means anyone can find the data they need

Marketing Efficiency Gains

  • Server-side tracking and conversions APIs improve ad platform performance by 15-30%

  • Better data management reduces wasted ad spend and improves CAC

  • Automated reporting saves 10+ hours per week of manual work

Scalable Systems

  • Processes and infrastructure scale with business growth without proportional complexity

  • AI/automation implementations multiply team output

  • New team members onboard to data systems in days, not weeks

More Jobs at Famly

Famly

Customer Success Manager – Nordics & UK

Famly

kr480K–kr620K/yri