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Database Architect

Omm IT Solutions

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.
Requirements

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
Vacancy posted 1 day ago
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