Data Architect
M
Massive RocketData architecture
Anywhere in Latin AmericaContractSenior
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Experience
- 8+ years of experience in Data Architecture or Solution Architecture, including at least 5 years in technical leadership.
- Required Skills
- PythonSQLSnowflakeCI/CDData modelingDatabricks
Requirements
- Bring 8+ years of experience in Data Architecture or Solution Architecture, including at least 5 years in technical leadership.
- Have deep hands-on expertise in Snowflake, Databricks, and customer data platforms; Hightouch experience is a plus.
- Have experience integrating cloud data warehouses with MarTech, CRM, customer engagement, and analytics platforms.
- Understand identity resolution, customer profiles, and linking anonymous and known customer activity across sources.
- Bring extensive experience in data modelling, pipeline architecture, reverse ETL, data integration, and performance optimisation.
- Have strong SQL and Python skills and experience with version control, CI/CD, and modern engineering practices.
- Be able to lead discovery, translate business requirements into technical designs, and communicate architecture decisions to technical and non-technical stakeholders.
- Have experience estimating and documenting technical solutions, managing scope, and securing client sign-off.
- Have a proven ability to mentor engineers and guide technical delivery across multiple projects.
- Have strong communication and stakeholder management skills, with a commercial and outcome-focused mindset.
- Have experience in an agency or consulting environment managing multiple client engagements.
- Be willing to travel to client locations when required.
- Certifications in Snowflake, data architecture, or relevant CDP and MarTech platforms are desirable.
Responsibilities
- Lead client discovery workshops to assess 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 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 data analysis and technical designs into recommendations and business value for client stakeholders.
- Mentor engineers and consultants, conduct technical reviews, and promote continuous improvement.
- Support proposals, pitches, workshops, and strategic initiatives, and identify opportunities to expand client engagements.
View Full Description & ApplyYou'll be redirected to the employer's site
