AWS -Senior Data Architect - R01543971

Brillio; United States; Remote; USD 100,000 - 130,000; Full time

Job summary

A leading technology service provider seeks a Senior Data Specialist to design and implement AWS cloud data solutions. The role involves creating scalable data architectures, managing data infrastructure, and ensuring compliance with governance standards. Ideal candidates will lead data strategy and collaborate with stakeholders to deliver effective data solutions.

Qualifications

• Experience in designing cloud-native data architectures on AWS.
• Proficiency in data management strategies aligned with business goals.

Responsibilities

• Lead the creation of cloud-native data architectures on AWS.
• Develop data integration solutions and ensure compliance with security standards.
• Guide teams on cloud-based data solutions and best practices.

Skills

AWS

Data Architecture

ETL

Data Integration

Governance

Security

Python

Tools

Redshift

Aurora

S3

Glue

Lambda

Athena

Job description

Senior Data Specialist

Primary Skills

• Athena, SQS, CloudWatch, Macie, Spark - Scala, Kinesis, CloudFormation, EMR, Open Search, DynamoDB, Amazon API Gateway, SCT, Redshift, DMS, Oozie

Secondary Skills

• Python

Job requirements

• About Brillio:

Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Renowned for its world-class professionals, called "Brillians," the company seamlessly integrates cutting-edge digital and design thinking skills with a strong focus on client satisfaction. Brillio prides itself on being an employer of choice, attracting top talent through its emphasis on modern technologies and digital projects. The company's commitment to employee growth and satisfaction has earned it the Great Place to Work certification year after year.

• Work Location: Gurgaon/Hyderabad/Pune/Bangalore/Chennai
• Job Title: AWS Data Architect/Senior Lead Data Engineer
• Job Type: Full-time
• Job Summary:
• Seeking an experienced AWS Data Architect to lead the design and implementation of cloud data solutions, focusing on scalable, reliable, and optimized architectures that facilitate data-driven decision-making. You will shape data strategy, implement best practices, and ensure seamless integration of AWS data platforms like Redshift, Aurora, and others.
• Key Responsibilities:
• Data Architecture Design:
• Lead the creation of cloud-native data architectures on AWS, utilizing services such as Redshift, Aurora, S3, Glue, and Athena.
• Define data management strategies and align data models with business goals.
• Design end-to-end data pipelines for ingesting, processing, storing, and analyzing large datasets.
• Cloud Data Infrastructure Management:
• Build and maintain highly available, scalable, and secure data infrastructure on AWS.
• Manage migration of on-premise data solutions to AWS with minimal operational impact.
• Optimize performance of data storage and queries in Redshift and Aurora.
• Data Integration and Processing:
• Develop data integration solutions for various systems, designing ETL/ELT workflows with AWS tools like Glue and Lambda.
• Collaborate with stakeholders to identify data sources and design interfaces and APIs for integration.
• Governance and Security:
• Ensure data solutions adhere to security, governance, and compliance standards (GDPR, HIPAA).
• Implement data privacy policies, access controls, encryption, and audit logging.
• Establish data lineage and metadata management strategies.
• Collaboration and Leadership:
• Guide internal teams on cloud-based data solutions and best practices.
• Work with business leaders to understand requirements and deliver suitable data solutions.
• Develop and enforce standards for AWS data engineering across the organization.
• Innovation and Optimization:
• Stay updated with AWS data technologies and trends, recommending improvements.
• Explore new AWS features for performance, scalability, and cost-efficiency.
• Documentation and Knowledge Sharing:
• Create detailed documentation of data architecture and configurations.
• Mentor team members and promote knowledge sharing on AWS data technologies.