Data Architect

🕒 March 4

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Brillio

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🤖 Artificial Intelligence

🔒 Cybersecurity

💰 Private Equity Round on 2019-01

Artificial Intelligence • Consulting • Cybersecurity

Brillio is a technology consulting company that specializes in driving digital transformation for businesses across various industries such as banking, financial services, insurance, life sciences, telecom and media, healthcare, and retail. They focus on customer experience transformation, data and AI, product and platform engineering, and provide infrastructure, cloud, and security solutions. With an emphasis on engineering digital products and leveraging generative AI, Brillio aims to provide bespoke solutions that help businesses thrive in the age of AI and technological disruption. They also offer services to help businesses adapt to new technological challenges and turn disruptions into competitive advantages.

📋 Description

• Design and implement scalable data architectures on AWS, leveraging services such as EMR, Redshift, DynamoDB, and Kinesis • Develop robust data pipelines using Spark (Scala), Oozie, and AWS Glue to support analytics and operational workloads • Configure and optimize AWS services including Athena, Open Search, CloudWatch, Macie, and CloudFormation for efficient data processing and monitoring • Manage and secure data flows with Amazon SNS, SQS, API Gateway, and DMS, ensuring data integrity and compliance • Collaborate with cross-functional teams to translate business requirements into technical solutions, focusing on performance, security, and reliability • Troubleshoot and resolve complex issues related to data ingestion, transformation, and storage within AWS environments • Implement best practices for data governance, security, and privacy, utilizing AWS Macie and related tools • Monitor system performance and proactively identify opportunities to improve data processing efficiency and reduce costs

🎯 Requirements

• Experience Range: 7 - 10 years of experience in data architecture and AWS data engineering • Advanced proficiency with AWS services including Athena, SNS, SQS, CloudWatch, Macie, Kinesis, CloudFormation, EMR, Open Search, DynamoDB, Amazon API Gateway, SCT, Redshift, and DMS • Expertise in Spark with Scala for large-scale data processing • Hands-on experience with Oozie for workflow orchestration • Strong knowledge of data modeling and architecture in cloud environments • Proficiency in designing and optimizing ETL pipelines • Experience with real-time and batch data processing solutions • Ability to configure and manage AWS security and monitoring tools • Skilled in deploying infrastructure as code using AWS CloudFormation • Competence in integrating AWS services for end-to-end data solutions • Solid understanding of data governance and compliance in AWS • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field • AWS Certified Data Analytics – Specialty or AWS Certified Solutions Architect certification preferred