Data Architect

Job not on LinkedIn

🔥 4 minutes ago

🇧🇷 Brazil – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 16%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Massive Rocket | Data & CRM Consultancy

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Massive Rocket is a global data and CRM consultancy that operates at the intersection of modern marketing, product, and engineering. Specializing in Snowflake and Braze, Massive Rocket helps digital marketing teams connect with product and engineering departments to deliver personal, relevant, and human customer experiences at scale. The company offers a range of services including customer data management, customer engagement, marketing technology solutions, data engineering, and analytics. Massive Rocket collaborates with leading technology providers to assist in the deployment, integration, and operation of marketing technology stacks.

📋 Description

• Lead client discovery workshops to assess existing data platforms, identity frameworks, integrations, and business requirements • Design scalable data architectures integrating Snowflake, Databricks, mParticle, Hightouch, Braze, and wider MarTech ecosystems • Define data models, identity resolution, consent, governance, and data quality standards across multiple brands and markets • Develop technical roadmaps, scope delivery phases, estimate effort, and secure client approval before implementation • Evaluate data technologies and tools against business requirements, performance expectations, and commercial objectives • Guide Data Engineering teams in implementing and optimising batch, event-driven, and low-latency data pipelines • Establish data validation, monitoring, performance optimisation, and engineering best practices • Translate complex data analysis and technical designs into clear recommendations and business value for client stakeholders • Mentor engineers and consultants, conduct technical reviews, and promote continuous improvement across delivery teams • Support proposals, pitches, workshops, and strategic initiatives while identifying opportunities to expand client engagements

🎯 Requirements