Principal Architect
Xcede
Principal Architect | AWS & Databricks
Take the next step in your career now, scroll down to read the full role description and make your application.
Experience: 15+ years
Role Overview
We are seeking a Principal Architect with 15+ years of cloud architecture experience and strong hands-on expertise designing and implementing AWS and Databricks solutions. This person will lead the architecture of scalable, secure, and high-performance cloud data platforms while working across infrastructure, data engineering, governance, and DevOps.
Key Responsibilities
- Design scalable, secure, and high-performance AWS and Databricks solutions using AWS Networking, Kinesis, ElastiCache, Redshift, EKS, Cognito, and other PaaS services.
- Build and maintain ETL/ELT pipelines using Python and PySpark within Databricks, including notebooks, jobs, Delta Lake, and Unity Catalog.
- Implement Bronze, Silver, and Gold medallion architecture and optimize Spark jobs for performance, scalability, reliability, and cost.
- Use Terraform to provision and manage Databricks workspaces, clusters, jobs, S3/ADLS storage, networking, IAM, and related infrastructure.
- Develop advanced SQL for data transformation, validation, analytics, and data quality.
- Build CI/CD pipelines using Jenkins and GitHub Actions.
- Integrate data from databases, APIs, streaming platforms, and file-based sources.
- Optimize cloud costs through autoscaling, spot instances, scheduling, and resource management. xhyhwjd
- Monitor pipelines, troubleshoot failures, and implement observability and alerting.
Required Skills
- AWS Networking and VPC design
- AWS Kinesis
- AWS ElastiCache
- AWS Redshift
- AWS Lambda, S3, and Glue
- AWS EKS
- AWS Cognito
- Databricks, Delta Lake, Unity Catalog, and Delta Live Tables
- Python and PySpark
- Advanced SQL
- Terraform
- Jenkins and GitHub Actions
Preferred Skills
- Azure Data Lake, Data Factory, Synapse, and Key Vault
- Big data and dimensional modeling
- Lakehouse architecture
- Spark and Databricks performance tuning
- Data governance, lineage, and compliance
Qualifications
- Bachelor's degree in Computer Science, Information Technology, or related field
- AWS Certified Solutions Architect - Professional preferred
- Databricks Certified Data Engineer Professional or Apache Spark certification preferred
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