Principal Architect - R01570796
About The Position
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. Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction. Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year.
Requirements
- At least 15 years of experience in cloud architecture, including significant hands-on expertise designing and implementing AWS and Databricks-based solutions
- Advanced proficiency in AWS Networking and VPC design
- Expertise in AWS Kinesis for real-time data streaming and analytics
- Deep experience with AWS Elastic Cache for distributed caching
- Extensive experience with AWS Redshift for data warehousing
- Strong knowledge of AWS PaaS services including Lambda, S3, and Glue
- Hands-on experience with AWS EKS for container orchestration
- Proficiency in AWS Cognito for identity and access management
- Expertise in Databricks, including Delta Lake, Unity Catalog, and Delta Live Tables
- Strong Python and PySpark skills for distributed data processing
- Advanced SQL skills for complex querying and optimization
- Proficiency in Terraform for infrastructure automation and management
- Experience with CI/CD tools such as Jenkins and GitHub Actions
Nice To Haves
- Knowledge of Azure Data Lake, Data Factory, Synapse, and Key Vault
- Understanding of big data modeling (star/snowflake, dimensional) and lakehouse architecture
- Experience with performance tuning in Spark and Databricks environments
- Familiarity with data governance, lineage, and compliance in cloud environments
Responsibilities
- Design and architect scalable, secure, and high-performance AWS and Databricks solutions, leveraging AWS Networking, Kinesis, Elastic Cache, Redshift, EKS, Cognito, and PaaS services
- Develop and maintain robust ETL/ELT pipelines using PySpark and Python within Databricks, including notebooks, jobs, Delta Lake tables, and Unity Catalog for governance
- Implement medallion architecture (bronze, silver, gold layers) and optimize Spark jobs for performance, cost, scalability, and reliability, addressing partitioning, skew, caching, and adaptive query execution
- Provision and manage cloud infrastructure using Terraform for Databricks workspaces, clusters, jobs, storage (ADLS/S3), networking, IAM roles and permissions, and related resources on Azure and AWS
- Write efficient SQL queries for data transformation, validation, and analytics within Databricks, ensuring data quality, lineage, security, and compliance
- Implement and maintain CI/CD pipelines using Jenkins and GitHub Actions for automated testing and deployment of notebooks, jobs, Delta Live Tables, and Terraform configurations
- Integrate data from diverse sources (databases, APIs, streaming, files) into cloud storage and processing layers
- Optimize cloud costs through auto-scaling clusters, spot instances, job scheduling, and efficient resource usage
- Monitor pipeline performance, troubleshoot failures, and implement alerting and observability using Databricks tools, cloud monitoring services, or third-party solutions
Benefits
- Equal Employment Opportunity
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What This Job Offers
Job Type
Full-time
Career Level
Principal
