Senior Data Architect - Digital Transformation - LATAM

Our Client

The client is a digital transformation agency combining strategy, creativity, engineering, and data to help brands solve complex business challenges. It designs and builds digital products, customer experiences, platforms, and marketing solutions, integrating emerging technologies and artificial intelligence to modernize operations, strengthen customer engagement, and support measurable business growth globally.

Job Summary

The Data Architect will lead the design of scalable enterprise data platforms, translating client business requirements into technical strategies and guiding engineering teams through implementation. Combining architectural leadership, client advisory, and hands-on expertise, this role covers cloud platforms, distributed systems, APIs, data pipelines, and AI/ML integration. Responsibilities include architecture documentation, discovery workshops, platform evaluation, governance, and technical pre-sales.

The ideal candidate brings strong Python and SQL skills, sound architectural judgment, and experience aligning technical, executive, and creative stakeholders around solutions.

Responsibilities

• Lead solution design and architectural decisions for medium to large client engagements involving data platforms, pipelines, and AI-enabled workflows.
• Assess existing enterprise architectures, identify gaps, and define future-state roadmaps.
• Produce and present system diagrams, integration maps, architecture decision records, and technical standards.
• Guide engineering teams through implementation, contributing hands-on during critical phases and mentoring engineers on architectural decisions.
• Facilitate discovery workshops with client engineering, data, and IT stakeholders to translate business requirements into system designs.
• Evaluate cloud data platforms, frameworks, and third-party integrations against client requirements and constraints.
• Design distributed data pipelines, composable platforms, and API-first ecosystems incorporating AI/ML capabilities.
• Connect marketing data sources, including GA4, advertising platforms, CRMs, and CDPs, to analytics and machine learning workloads.
• Align architectures with enterprise security, privacy, compliance, and governance requirements while mitigating architectural risks.
• Support technical pre-sales, RFP responses, SOW development, and executive solution presentations.

Qualifications and Job Requirements

• 7+ years of software or data engineering experience, including 2+ years focused on architecture or solution design.
• Broad expertise across cloud infrastructure, APIs, data platforms, and modern technology ecosystems.
• Deep expertise in cloud data platforms such as Snowflake, Databricks, BigQuery, or Redshift, with the ability to explain architectural trade-offs.
• Proficiency in Python and SQL for data processing and ETL.
• Experience designing scalable, maintainable distributed systems and API ecosystems at enterprise scale.
• Experience integrating AI/ML capabilities into data pipelines, with exposure to generative AI applications.
• Hands-on experience with AI-powered coding tools, agentic engineering, and AI-enabled workflows.
• Experience applying data governance, privacy compliance, and security best practices.
• Proven ability to work directly with client technical teams, translate business needs into architecture, and act as a trusted technical advisor.
• Experience producing and presenting architecture artifacts to technical and executive audiences.
• Strong stakeholder management skills, with the ability to build technical consensus across engineering, business, and creative teams.

What We Offer

• 100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection.
• Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD, that goes beyond typical market offerings.
• Paid Time Off: We value your well-being. Our paid time off policies ensure you have the chance to unwind and recharge when needed.
• Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on results, not the clock.
• Work with Top American Companies: Grow your expertise working on innovative, high-impact projects with Industry-Leading U.S. Companies.