We’re looking for a Data Architect to help transform complex client requirements into scalable, data-driven solutions for global brands. You’ll lead technical discovery, design end-to-end data architectures, and shape roadmaps that connect customer data, identity, and marketing technology.
Working closely with client stakeholders and our Data Engineering teams, you’ll combine deep technical expertise with strategic thinking to deliver robust architectures, improve data performance, and drive measurable business outcomes.
- 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 to ensure they meet business requirements, performance expectations, and commercial objectives.
- Guide Data Engineering teams in implementing and optimising data pipelines, including batch, event-driven, and low-latency data flows.
- 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.
- 8+ years of experience in Data Architecture or Solution Architecture, including at least 5 years in technical leadership.
- Deep hands-on expertise in Snowflake, Databricks, and customer data platforms, with Hightouch experience being a plus.
- Proven experience integrating cloud data warehouses with MarTech, CRM, customer engagement, and analytics platforms.
- Strong understanding of identity resolution, customer profiles, and linking anonymous and known customer activity across multiple sources.
- Extensive experience in data modelling, pipeline architecture, reverse ETL, data integration, and performance optimisation.
- Strong SQL and Python skills, with experience in version control, CI/CD, and modern engineering practices.
- Ability to lead discovery, translate business requirements into technical designs, and communicate architecture decisions to technical and non-technical stakeholders.
- Experience estimating and documenting technical solutions, managing scope, and securing client sign-off.
- Proven ability to mentor engineers and guide technical delivery across multiple projects.
- Strong communication and stakeholder management skills, with a commercial and outcome-focused mindset.
- Experience in an agency or consulting environment, managing multiple client engagements.
- Willingness to travel to client locations when required.
- Certifications in Snowflake, data architecture, or relevant CDP and MarTech platforms.
- Familiarity with Braze, Amplitude, GA4, and marketing automation within modern warehouse-centric architectures.
- Strong understanding of data privacy, security, consent, and regulatory requirements.Experience developing technical proposals, delivering client presentations, and leading workshops or training sessions.
- A track record of introducing new technologies or architectural approaches that improve performance, efficiency, and business outcomes.
Skills Required
- Deep Snowflake expertise, including architecture, data modeling, optimization, and performance tuning
- Experience with customer data platforms, identity resolution, and customer profile design
- Experience supporting CRM and customer engagement platforms such as Braze, Salesforce Marketing Cloud, Bloomreach, or Adobe Campaign
- Strong understanding of customer events, user attributes, audience segmentation, and lifecycle marketing use cases
- Experience with reverse ETL tools such as Hightouch or Census
- Strong SQL and dbt skills
- Familiarity with consent management, privacy frameworks, and customer data governance
- Experience working with multichannel customer engagement data across email, push, SMS, web, and app
- Ability to communicate complex customer data concepts to technical and non-technical stakeholders
- Experience implementing or supporting CDPs such as Segment, mParticle, Tealium, or RudderStack
- Familiarity with predictive modeling, AI-driven segmentation, or propensity scoring
- Experience with loyalty, retail, QSR, financial services, or subscription customer datasets
- Understanding of Braze data structures, Currents, custom events, and Connected Content
What We Do
Global Braze Agency, Massive Rocket, offers full-service solutions for businesses (Data, Engineering & CRM). We help our customers use data to understand their customers and automate communications across channels. We Grow Customer Lifetime Value. Our Global Delivery Centres support the most sophisticated customers in the world across the US, EMEA and APAC regions. Automate your end-to-end customer experience with our key services: Marketing Technology Stack Design Customer Engagement (CRM) Data Warehouse Management (DW) Customer Data Management (CDP) We extend your team with specialists Strategy | Planning | Setup | Integration | Execution As a consultancy, we deliver solutions that don’t just help digital marketing teams achieve their goals but also generate predictable growth. We adopt and implement new-age solutions that fulfil the needs of the new-age customer-centric companies. We are proud to be the technology partners of the leading technology solution providers in the industry: 1. Braze (One of the 4 Certified Level 4 “Orbit” Braze Partners) 2. mParticle (Solutions Partner of the Year) 3. Snowflake 4. Segment Get in touch to know more









