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 • Dominican RepublicSeniorWebsite

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 AI backends. Proficient in real-time data processing, event-driven microservices, and data governance standards.

Highest-signal resume keywords

Data ArchitectureReal-Time AI BackendsRAG and Vector DatabasesAWS, GCP, or AzurePython and SQL

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ArchitectureData EngineeringReal-Time ProcessingSystem DesignAPI DesignPythonSQLEvent-Driven MicroservicesArchitectural StandardsData Governance

Soft Skills

CollaborationCommunication

Tools & Technologies

AWSGCPAzureDatabricksSnowflakeBigQueryPineconeQdrantMilvusPgvector

Industry Keywords

Cloud Data LakesLow-Latency AIStreaming IngestionVector Retrieval EnginesLakehouse Architectures

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
Experience designing complex, scalable platforms from scratch
Hands-on experience activating existing data stores for live, interactive applications
Expertise in real-time, event-driven AI backends
Expertise in 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
Strong proficiency in system design and API design using gRPC, GraphQL, or REST for ML integration
Ability to communicate architectural concepts clearly to technical and nontechnical stakeholders

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 network
Collaboration with a multicultural team
Work alongside seasoned senior professionals