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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 extensive experience 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 mentor engineering teams and facilitate collaboration among diverse stakeholders.
Highest-signal resume keywords
Solution DesignData ArchitectureAI/ML IntegrationStakeholder ManagementCloud Infrastructure
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonSQLData ProcessingETLDistributed Systems DesignAPI EcosystemsData GovernancePrivacy ComplianceArchitecture Artifacts ProductionTechnical Presentations
Soft Skills
MentoringCollaborationConsensus BuildingFacilitationStakeholder Engagement
Tools & Technologies
SnowflakeDatabricksBigQueryRedshiftGA4CRMsCDPsAI-Powered Coding ToolsAgentic EngineeringAI-Enabled Workflows
Industry Keywords
Data PlatformsCloud Data PlatformsComplianceGovernanceArchitecture Decision Records
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 and contribute hands-on during critical phases
- Mentor engineers on architectural decisions
- 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
- 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
- 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
- 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
- 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
- Experience working directly with client technical teams and translating 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
- Access to a diverse, global professional network
- Collaboration with multicultural teams
- Opportunity to work with senior, seasoned professionals