
Data Architect
2 weeks ago
Key Responsibilities :
- 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) :
- 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 :
- 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)-
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