Database Architect

Job Description

Job Description

PLEASE NOTE:

• IT IS 100% ON-SITE POSITION IN WOODLAWN
• The selected candidate must be able to obtain and maintain a public trust clearance
• The selected candidate must be willing to work on-site in Woodlawn, MD, 5 days a week
  

Key Required Skills:

Database architecture experience with AWS, Snowflake, SQL, and automation and scripting.

DESCRIPTION:

• 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 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 the audience.
  
• Provide guidance/support to other junior/mid-level developers.
  
• All other duties as assigned or directed.

Skills Requirements
BASIC QUALIFICATION

• Bachelor's 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.
  

REQUIRED SKILLS

• killed 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 Snowflake’s features and integration tools.
  
• Knowledgeable in Snowflake’s 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
  

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