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Principal Data Architect
Massive Rocket | Data & CRM Consultancy. Design, build, and maintain scalable ETL/ELT pipelines across batch and real-time architectures .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and maintaining scalable ETL/ELT pipelines, optimizing data models, and ensuring data quality across cloud platforms. Proficient in SQL, Python, and dbt, with strong capabilities in translating business requirements into reliable data solutions.
Highest-signal resume keywords
ETL/ELT Pipeline DesignSQL Data ModellingPython Data TransformationsCloud Data Integration (AWS, Azure, Google Cloud)Data Quality Assurance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
ETLELTSQLPythonDbtData ModellingData TransformationDatabase Performance OptimizationData Quality ChecksData Architecture
Soft Skills
CollaborationCommunicationTechnical LeadershipClient ManagementAdaptability
Tools & Technologies
AWSAzureGoogle CloudBrazeData Integration Tools
Industry Keywords
Data EngineeringData PlatformsData PipelinesCustomer EngagementCRM
Tech Stack
Tools & technologiesAWSAzureCloudETLPythonSQL
About the role
Key responsibilities & impact- Design, build, and maintain scalable ETL/ELT pipelines across batch and real-time architectures
- Develop and optimise data models, transformations, and workflows using SQL, Python, and dbt
- Build and maintain integrations across cloud data platforms, warehouses, and external data sources
- Improve database performance, data reliability, and cost efficiency through monitoring and optimisation
- Implement data quality checks, unit tests, and validation processes
- Translate customer engagement and CRM requirements into data models and pipelines powering Braze and other platforms
- Work with customer events, user attributes, identity resolution, and data synchronisation
- Collaborate with Data, Analytics, CRM, and CDP teams on client requirements and business goals
- Provide technical leadership, guidance, and engineering best practices
- Identify opportunities for AI tools, automation, and emerging technologies
- Support multiple client engagements and communicate technical recommendations clearly
Requirements
What you’ll need- 5+ years of experience in data engineering, data platforms, or a similar technical role
- 4+ years of hands-on experience with SQL, data modelling, and ETL/ELT processes
- 2+ years of experience using Python to build data applications and transformations
- Practical experience with dbt and modular data transformation
- Experience with AWS, Azure, or Google Cloud and modern data integration tools
- Strong understanding of data architecture, pipeline design, database performance, testing, and data quality
- Experience translating business and customer engagement requirements into reliable data solutions
- Experience working in an agency or consulting environment, managing multiple clients and changing priorities
- Ability to use AI tools to improve productivity
- Ability to work independently and collaborate with cross-functional teams
- Strong written and verbal English communication skills (C1 level or equivalent)
- Valid work visa; sponsorship unavailable
- For contractors: proof of incorporation and up-to-date insurance required
Benefits
Comp & perks- Rocket-Fuelled Growth – Big challenges, fast learning, and the chance to level up quicker than anywhere else
- A Culture That Actually Gives a Damn – Supportive, positive, and built around people who want to see you win
- A Global Crew – Collaborate with brilliant teammates across Europe, the US, and beyond
- Remote-First for Life – Work from wherever you feel your best
- Real Career Momentum – Clear progression, real ownership, and space to grow into your next chapter
- Moments That Matter – Meetups, events, and team experiences that make the journey unforgettable
- Bring Your Own Device (BYOD) policy
- Valid work visa requirement with no sponsorship
- Potential identity checks
- Potential request for two references
- For contractors: proof of incorporation and up-to-date insurance required