Data Architect

Blend360

About The Position

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com . We are looking for a Data & Transaction Architect with strong experience in designing and scaling transactional and real-time data architectures in cloud-native and distributed environments. In this role, you will be responsible for defining the backbone of data flow between operational and analytical systems, ensuring consistency, low latency, scalability, and reliability in mission-critical architectures. You will operate at the intersection of transactional systems, event streaming, and data platforms, designing solutions that connect operational databases, streaming layers, and analytical systems. The ideal candidate has deep experience with Amazon DynamoDB, Apache Kafka (or AWS MSK), and Oracle, as well as an understanding of how to integrate these ecosystems into modern, resilient architectures.

Requirements

7+ years of experience in data architecture, data engineering, or solutions architecture in distributed and cloud environments
Solid experience in designing transactional and event-driven architectures at scale
Proficiency 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
Strong experience with Oracle systems (OLTP), 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) for supporting distributed architectures
Experience in defining data contracts, event schemas, and data governance in distributed environments
Knowledge of system reliability best practices: idempotency, retry patterns, fault tolerance, and disaster recovery
Experience in hybrid architectures (on-premise + cloud) and modernization of legacy systems
Strong communication skills with technical and business teams to translate requirements into architectural solutions

Nice To Haves

Knowledge in 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

Responsibilities

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 systems (OLTP) with modern cloud platforms using CDC (Change Data Capture) and data replication patterns
Design end-to-end architectures connecting transactional, streaming, and analytics workloads
Define event patterns, data contracts, and governance in distributed architectures
Ensure high availability, fault tolerance, and scalability of real-time data pipelines
Collaborate with backend engineering teams on implementing patterns like Event Sourcing and CQRS, where 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 with security and platform teams to ensure compliance, encryption, and security in data flow