Senior Data Architect – Digital Transformation

Truelogic Software

. Define and scale an AI-first data architecture connecting cloud data lakes and warehouses to low-latency AI agent backends .

Posted 11/3/2026full-timeRemote • PanamaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and scaling AI-first data architectures, integrating cloud data lakes and warehouses with low-latency AI backends. Proficient in real-time data processing, event-driven microservices, and data governance standards.

Highest-signal resume keywords

Data ArchitectureReal-Time AI BackendsAWSPythonSQL

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Hard Skills

Data ArchitectureReal-Time ProcessingEvent-Driven MicroservicesSystem DesignAPI DesignPythonSQLRAGVector DatabasesData Governance

Soft Skills

CommunicationCollaboration

Tools & Technologies

AWSGCPAzureDatabricksSnowflakeBigQueryPineconeQdrantMilvusPgvector

Industry Keywords

AI ArchitectureData LakesData WarehousesLakehouse ArchitectureMicroservices

Tech Stack

Tools & technologies

AWSAzureBigQueryCloudGoogle Cloud PlatformGraphQLGRPCMicroservicesPythonSnowflakeSQL

About the role

Key responsibilities & impact

Define and scale an AI-first data architecture 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
Experience 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 and SQL
Proficiency in 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
Highly Competitive USD Pay
Paid Time Off
Work with Autonomy
Work with Top American Companies
Engagement activities and a focus on well-being and work-life balance
Access to a diverse, global network of 600+ professionals in 25+ countries
Collaboration with a multicultural team from Latin America
Work alongside senior, seasoned professionals