Senior Data Architect – Digital Transformation

Truelogic Software

. Define and scale an AI-first data architecture connecting cloud data lakes and warehouses to real-time insights, predictive analytics, and generative AI applications .

Posted 11/3/2026full-timeRemoteSeniorWebsite

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 for real-time insights and predictive analytics. Proficient in transforming data assets into advanced systems and collaborating with cross-functional teams to deliver scalable technical solutions.

Highest-signal resume keywords

Data ArchitectureReal-Time AI BackendsPython ProgrammingAWSEvent-Driven Microservices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ArchitectureReal-Time AI BackendsPython ProgrammingSQLSystem DesignAPI DesignEvent-Driven MicroservicesRAGVector DatabasesData Governance

Soft Skills

Clear CommunicationCollaboration

Tools & Technologies

AWSGCPAzureDatabricksSnowflakeBigQueryPineconeQdrantMilvusPgvector

Industry Keywords

AI ArchitectureData LakesData WarehousesPredictive AnalyticsMicroservices

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 real-time insights, predictive analytics, and generative AI applications
Design and scale enterprise data architectures for 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
Well-being and work-life balance support
Engagement activities
Collaboration with a diverse, global network
Work with senior, skilled professionals