Data Architect - Big Data

Key Responsibilities :

• Design and architect scalable, high-performance Big Data solutions and data platforms on AWS.
• Translate business requirements into high-level architectural blueprints ensuring feasibility, functionality, and maintainability.
• Develop and optimize data pipelines, ETL processes, and data integration workflows using AWS services (e.g., S3, Glue, EMR, Redshift, Lambda).
• Collaborate with cross-functional teams including data engineers, developers, product owners, and enterprise architects to align solutions with business goals and enterprise standards.
• Lead architectural reviews, approve business and functional requirements, and define testing strategies.
• Ensure architectural alignment with enterprise data governance, security policies, and compliance standards.
• Provide technical mentorship and guidance to engineering teams.
• Monitor and optimize system performance, scalability, and reliability.
• Stay updated with emerging technologies and best practices in Big Data and cloud Skills (Non-Negotiable) :
• Proven expertise in Big Data technologies such as Hadoop, Spark, Kafka, Hive, or similar frameworks (design, development, and optimization).
• Strong hands-on experience with AWS cloud services, specifically for data platform deployment and data pipeline orchestration.
• Extensive experience in software / application architecture design with focus on scalable, distributed systems.
• Expertise in integration with enterprise platforms and services, including APIs, messaging systems, and databases.
• Deep understanding of performance optimization, scalability challenges, and fault-tolerant system :
• Bachelors or Masters degree in Computer Science, Engineering, or a related field.
• 6 - 10 years of relevant experience in data architecture, software architecture, or related roles.
• Experience working with large-scale data platforms and cloud-native architectures.

(ref : hirist.tech)