Data Architect

Massive Rocket | Data & CRM Consultancy

. Lead client discovery workshops to assess existing data platforms, identity frameworks, integrations, and business requirements .

Posted 10/8/2026contractRemote • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing scalable data architectures and integrating various data technologies, including Snowflake and Databricks. Proven ability to lead client workshops, mentor teams, and translate complex data insights into actionable business strategies.

Highest-signal resume keywords

Data Architecture DesignSnowflake IntegrationData GovernanceData Pipeline OptimizationClient Engagement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingIdentity ResolutionData Quality StandardsBatch ProcessingEvent-Driven ArchitectureLow-Latency Data PipelinesTechnical RoadmappingPerformance OptimizationData ValidationData Analysis

Soft Skills

MentoringCommunicationCollaborationContinuous ImprovementStakeholder Engagement

Tools & Technologies

DatabricksMParticleHightouchBrazeMarTech Ecosystems

Industry Keywords

Data PlatformsClient Discovery WorkshopsBusiness RequirementsTechnical ReviewsStrategic Initiatives

About the role

Key responsibilities & impact

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

What you’ll need

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