Senior Data Architect - Digital Transformation - LATAM
Truelogic, LatAm
What you will do
- 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.
What you need
- 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.