Database Architect

Database Architecture experience with AWS snowflake SQL and automation and scripting.

• Utilize the AWS database and data processing services including Amazon RDS AuroraDB DynamoDB Redshift ElastiCache EMR and Neptune.

• Configure launch and manage EMR clusters optimizing for performance and cost and integrating with various data sources.

• Architect scalable high-performance and secure database solutions.

• Integrate databases with other AWS services such as Lambda S3 EC2 and Glue.

• Utilize AWS security best practices (IAM encryption VPC security groups) and compliance requirements for data storage.

• Design backup disaster recovery high availability and failover solutions (Multi-AZ read replicas).

• Troubleshoot for AWS related issues and incidents.

• Design implement and manage virtual data warehouses in Snowflake.

• Write complex SQL queries for data analysis transformation and reporting.

• Optimize queries manage caching clustering and leveraging auto-scaling to handle workloads.

• Ensure compliance with SSA security privacy and data management policies.

• Brief management customer team or vendors using written or oral skills at appropriate technical level for audience.

• Provide guidance/support to other junior/mid-level developers.

• All other duties as assigned or directed.

Foundation for Success (Basic Qualifications)

• Bachelors Degree in Computer Science Mathematics Engineering or a related field; Masters or Doctorate degree may substitute for required experience

• 7 years as a Database Architect.

• Experience in AWS database and data processing services including Amazon RDS AuroraDB DynamoDB Redshift ElastiCache EMR and Neptune.

• Knowledgeable in AWS security best practices (IAM encryption VPC security groups) and compliance requirements for data storage.

• Strong troubleshooting skills for AWS related issues and incidents.

• Skilled in optimizing queries managing caching clustering and leveraging auto-scaling to handle workloads.

• Proficient in automation and scripting (CloudFormation Terraform AWS CLI Python Bash PowerShell) for database and workflow management.

Factors To Help You Shine (Required Skills)

**Selected candidate must be able to obtain and maintain a public trust clearance**

**Selected candidate must be willing to work on-site in Woodlawn MD 5 days a week**

• Skilled in both relational and NoSQL database management data modeling normalization and schema design.

• Experienced in configuring launching and managing EMR clusters optimizing for performance and cost and integrating with various data sources.

• Skilled in designing backup disaster recovery high availability and failover solutions (Multi-AZ read replicas).

• Advanced skills in writing complex SQL queries for data analysis transformation and reporting.

• AWS Experience:

  • Proven ability to architect scalable high-performance and secure database solutions with proficiency in query optimization indexing caching and performance tuning using AWS tools.

  • Experienced in integrating databases with other AWS services such as Lambda S3 EC2 and Glue.

  • Adept at securing AWS clusters managing IAM roles implementing encryption and monitoring jobs using AWS tools (CloudWatch CloudTrail).

• Snowflake Experience:

  • Proficient in designing implementing and managing virtual data warehouses in Snowflake with a strong understanding of micro-partitions.

  • Experienced in schema design normalization and building efficient data structures in Snowflake.

  • Familiar with data ingestion transformation and loading using Snowflakes features and integration tools.

  • Knowledgeable in Snowflakes role-based access control data encryption and security best practices.

  • Experienced in integrating Snowflake with BI tools (Tableau Power BI) and using Python for data pipelines and machine learning applications

How To Stand Out From The Crowd (Desired Skills)

• Experience identifying requirements researching options designing and implementing solutions at a leadership level on project work.

• Experience scripting in a Linux environment to automate ETL solutions and data migration jobs.

• Understand and apply quality techniques and practices (automated unit testing Test Driven Design/Development performance analysis continuous integration)

• Ability to assist with architectural tactical thinking information solutions and road maps to drive architectural recommendations.

• Detail oriented and committed to consistently completing repetitive production-like tasks on-time and error-free.

• Prior experience working in a federal agency or public sector environment.

• Effective communication skills for working with cross-functional teams including data scientists analysts and business stakeholders.

• Ability to translate technical concepts into non-technical terms for business stakeholders.

• Ability to manage multiple projects prioritize tasks and deliver within deadlines.