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 .

Posted 11/3/2026full-timeRemote • PeruSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in solution design and architecture for data platforms, with a strong focus on integrating AI/ML capabilities and ensuring compliance with security and governance standards. Proven ability to lead engineering teams, facilitate stakeholder engagement, and produce technical documentation for diverse audiences.

Highest-signal resume keywords

Solution DesignData ArchitectureAI/ML IntegrationStakeholder ManagementCloud Infrastructure

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLData ProcessingETLSnowflakeDatabricksBigQueryRedshiftDistributed SystemsAPI Design

Soft Skills

MentoringCommunicationCollaborationConsensus BuildingFacilitation

Tools & Technologies

Cloud Data PlatformsAI-Powered Coding ToolsAnalytics PlatformsCRMsCDPsAdvertising PlatformsGA4

Industry Keywords

Data GovernancePrivacy ComplianceSecurity Best PracticesEnterprise ArchitectureTechnical Pre-Sales

Tech Stack

Tools & technologies

Amazon 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, contribute hands-on during critical phases, and mentor engineers
Facilitate discovery workshops with client engineering, data, and IT stakeholders
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
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 Snowflake, Databricks, BigQuery, or Redshift, including 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 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

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
Opportunities to work with senior, seasoned professionals