Data Architect

Blend360

Part-time Data Architect responsible for designing scalable data architectures in cloud-native environments for AI services company. Requires strong experience with Amazon DynamoDB and Apache Kafka.

Posted 6/23/2026part-timeRemote • 🇧🇷 BrazilSeniorLeadWebsite

Tech Stack

Tools & technologies

ApacheAWSCloudDynamoDBKafkaOracleTerraform

About the role

Key responsibilities & impact

Design scalable event-driven and transactional architectures in AWS and hybrid environments
Define data modeling strategies in Amazon DynamoDB, ensuring performance, scalability, efficient partitioning and cost optimization
Architect and implement streaming pipelines with Apache Kafka and/or AWS MSK for real-time data ingestion and processing
Integrate Oracle (OLTP) systems with modern cloud platforms using CDC (Change Data Capture) patterns and data replication
Design end-to-end architectures that connect transactional workloads, streaming and analytics
Define event standards, data contracts and governance for distributed architectures
Ensure high availability, fault tolerance and scalability of real-time data pipelines
Collaborate with backend engineering teams to implement patterns such as Event Sourcing and CQRS, when applicable
Optimize latency, throughput and reliability in multi-region distributed systems
Establish best practices for data consistency, idempotency and event reprocessing
Support architectural decisions involving DynamoDB, Kafka/MSK, Oracle and AWS data services
Work closely with security and platform teams to ensure compliance, encryption and security across data flows

Requirements

What you’ll need

7+ years of experience in data architecture, data engineering or solution architecture in distributed and cloud environments
Strong experience designing transactional and event-driven architectures at scale
Expertise in Amazon DynamoDB, including data modeling, access patterns, partitioning and performance/cost optimization
Hands-on experience with Apache Kafka and/or AWS MSK, including topic design, event streaming and real-time pipelines
Extensive experience with Oracle (OLTP) systems, including integration, replication and cloud migration patterns
Advanced knowledge of architectural patterns such as Event-Driven Architecture, Event Sourcing and CQRS
Experience with real-time data integration using CDC (Change Data Capture)
Familiarity with AWS (e.g., Lambda, SQS, SNS, S3, API Gateway) to support distributed architectures
Experience defining data contracts, event schemas and data governance in distributed environments
Knowledge of reliability best practices: idempotency, retry patterns, fault tolerance and disaster recovery
Experience with hybrid architectures (on-premises + cloud) and legacy system modernization
Experience with infrastructure as code (Terraform or similar) is a plus
AWS certifications (e.g., AWS Solutions Architect, AWS Data Analytics or AWS Developer) are a plus
Strong communication skills with technical and business teams to translate requirements into architectural solutions

Benefits

Comp & perks

Employees can work remotely

ATS Keywords

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Hard Skills & Tools

data architecturedata engineeringsolution architectureevent-driven architecturetransactional architecturedata modelingreal-time data integrationChange Data Captureinfrastructure as codecloud migration

Soft Skills

strong communication skills

Certifications

AWS Solutions ArchitectAWS Data AnalyticsAWS Developer