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Senior Data Architect – Digital Transformation
Truelogic Software. Lead solution design and architectural decisions for medium to large client engagements involving data platforms, pipelines, and AI-enabled workflows .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in solution design and architecture for data platforms, integrating AI/ML capabilities while ensuring compliance with security and governance standards. Proven ability to lead engineering teams and translate business requirements into scalable, maintainable systems.
Highest-signal resume keywords
Cloud Data Platforms ExpertisePython ProficiencySQL ProficiencyArchitecture Decision MakingStakeholder Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data EngineeringSolution DesignDistributed Systems DesignAPI Ecosystem DevelopmentData ProcessingETLAI/ML IntegrationArchitecture Artifacts ProductionTechnical Standards DevelopmentEnterprise Architecture Assessment
Soft Skills
MentoringFacilitationTechnical Consensus BuildingStakeholder EngagementCommunication
Tools & Technologies
SnowflakeDatabricksBigQueryRedshiftGA4CRMsCDPsAI-Powered Coding ToolsAgentic EngineeringAI-Enabled Workflows
Industry Keywords
Cloud InfrastructureData GovernancePrivacy ComplianceSecurity Best PracticesEnterprise Scale
Tech Stack
Tools & technologiesAmazon RedshiftBigQueryCloudDistributed SystemsETLPythonSnowflakeSQL
About the role
Key responsibilities & impact- 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
- Translate business requirements into system designs
- Evaluate cloud data platforms, frameworks, and third-party integrations
- 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
- Mitigate architectural risks
- Support technical pre-sales, RFP responses, SOW development, and executive solution presentations
Requirements
What you’ll 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
- 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 and translate business needs into architecture
- Experience producing and presenting architecture artifacts to technical and executive audiences
- Strong stakeholder management skills and ability to build technical consensus across engineering, business, and creative teams
- Must be currently based in Latin America
Benefits
Comp & perks- 100% Remote Work
- Highly Competitive USD Pay
- Paid Time Off
- Work with Autonomy
- Work with Top American Companies
- Engagement activities
- Work-life balance support
- Collaboration with a diverse, multicultural global network
- Access to a network of 600+ professionals in 25+ countries