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. Requirements Skills Requirements\n

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. 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