Senior Data Architect – Digital Transformation

Truelogic Software

. Define and scale an AI-first data architecture .

Posted 11/3/2026full-timeRemote • PeruSeniorWebsite

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 real-time AI backends. Proficient in transforming data assets into interactive applications and driving the adoption of automated architectures and AI-powered development tools.

Highest-signal resume keywords

Data ArchitectureReal-Time AI BackendsPythonAWSDatabricks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ArchitectureData EngineeringReal-Time ApplicationsSystem DesignAPI DesignSQLEvent-Driven MicroservicesRAGVector DatabasesStreaming Ingestion

Soft Skills

CommunicationCollaboration

Tools & Technologies

AWSGCPAzureDatabricksSnowflakeBigQueryPineconeQdrantMilvusPgvector

Industry Keywords

AI ArchitectureData GovernanceIntegration PatternsLakehouse ArchitecturesCloud Data Lakes

Tech Stack

Tools & technologies

AWSAzureBigQueryCloudGoogle Cloud PlatformGraphQLGRPCMicroservicesPythonSnowflakeSQL

About the role

Key responsibilities & impact

Define and scale an AI-first data architecture
Connect 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
Must be based in Latin America, as indicated by the required application question
Reliable internet connection and laptop for remote work

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, global network
Access to senior, seasoned professionals