Senior Data Architect – Digital Transformation

Truelogic Software

. Design and scale enterprise data architectures connecting cloud data lakes and warehouses to low-latency AI agent backends .

Posted 11/3/2026full-timeRemote • MexicoSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and scaling enterprise data architectures, integrating cloud data lakes and warehouses with low-latency AI backends. Proficient in real-time data transformation, event-driven microservices, and collaboration with cross-functional teams to deliver scalable technical solutions.

Highest-signal resume keywords

Data ArchitectureReal-Time AI BackendsAWSPythonEvent-Driven Microservices

ATS Keywords

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Hard Skills

Data ArchitectureData EngineeringReal-Time Data TransformationSystem DesignAPI DesignSQLPythonRAGVector DatabasesEvent-Driven Microservices

Soft Skills

CommunicationCollaboration

Tools & Technologies

AWSGCPAzureDatabricksSnowflakeBigQueryPineconeQdrantMilvusPgvector

Industry Keywords

Cloud Data LakesData GovernanceArchitectural StandardsIntegration PatternsAI-Powered Development Tools

Tech Stack

Tools & technologies

AWSAzureBigQueryCloudGoogle Cloud PlatformGraphQLGRPCMicroservicesPythonSnowflakeSQL

About the role

Key responsibilities & impact

Design and scale enterprise data architectures connecting cloud data lakes and warehouses to low-latency AI agent backends
Transform existing data assets into real-time context providers, vector retrieval engines, and stateful memory systems
Architect streaming ingestion, event-driven microservices, and retrieval pipelines, including RAG and vector stores
Define data governance, architectural standards, schemas, and integration patterns
Collaborate with ML engineers, creative leads, and executive stakeholders to translate business goals into scalable technical solutions
Drive adoption of AI-powered development tools, agentic engineering practices, and automated architectures

Requirements

What you’ll need

5+ years in Data Architecture or Senior Data Engineering, designing complex, scalable platforms from scratch
Hands-on experience activating existing data stores for live, interactive applications, beyond migrations and data movement
Expertise in real-time, event-driven AI backends, RAG, and vector databases such as Pinecone, Qdrant, Milvus, or pgvector
Extensive experience with AWS, GCP, or Azure
Experience with modern lakehouse architectures using Databricks, Snowflake, or BigQuery
Strong proficiency in Python, SQL, system design, and API design using gRPC, GraphQL, or REST for ML integration
Ability to communicate architectural concepts clearly to technical teams and creative, nontechnical stakeholders
Currently based in Latin America

Benefits

Comp & perks

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
Paid Time Off
Work with Autonomy
Work with Top American Companies
Engagement activities and a culture fostering well-being and work-life balance
Collaboration with a diverse, global network of 600+ professionals in 25+ countries