Data Architect (AWS)

TL;DR

Data Architect (AWS): Designing and implementing scalable data platforms and data processing solutions in AWS with an accent on batch and streaming architectures, data modeling, and workflow orchestration. Focus on building real-time pipelines with Kafka/MSK/Kinesis, integrating ingestion mappings, and delivering production-ready solutions from PoC to MVP.

Company

hirify.global builds engineering solutions across data, analytics, and cloud platforms.

What you will do

• Design and support scalable AWS data solutions and data pipelines
• Develop and maintain batch and streaming data processing architectures
• Translate stakeholder requirements into technical solutions and implementation plans
• Implement data ingestion with source-to-target mappings and integration of new data sources
• Orchestrate workflows using Apache Airflow or MWAA and build real-time processing with Kafka, Amazon MSK, or Kinesis
• Use Snowflake or Amazon Redshift for analytics and storage; maintain documentation and data schemas across the full project lifecycle

Requirements

• Proven experience designing scalable data platforms and data pipeline architectures
• Hands-on experience with batch and streaming data processing solutions
• Strong expertise in AWS cloud services for data engineering and analytics workloads
• Proficiency in Python, Scala, or Java (preferably Python) and strong SQL skills
• Knowledge of big data technologies such as Apache Spark, Databricks, or Flink
• Upper-intermediate or higher English

Culture & Benefits

• Remote/office work model
• Collaborative, innovation-driven engineering environment
• Support across the full project lifecycle from PoC/MVP to production
• Opportunity to explore new technologies, build prototypes, and share knowledge

Hiring process

• Submit the application form
• Recruiter follows up with next steps