Database Admin Architect

Omm IT Solutions
Pikesville, MD, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Amazon Web Services Amazon Elastic Compute Cloud Amazon S3 Data Analysis Acceptance Test-Driven Development Unit Testing Backup Devices Cloud Computing Databases Continuous Integration Extract Transform Load (ETL) Data Migration
+23 more
Database Development Linux Disaster Recovery Failover Identity and Access Management PostgreSQL Performance Tuning Query Optimization SQL Databases Scripting Freeform SQL Data Storage Technologies Autoscaling System Availability Caching Indexer Amazon Virtual Private Cloud (VPC) Data Management Functional Programming Database Monitoring Cloudwatch Database Installation Splunk

Job description

  • Managing, maintaining, securing, monitoring and optimizing PostgreSQL databases to ensure high availability and performance.
  • Database monitoring and health check
  • Backup and recovery management
  • Database installation, updates and configuration
  • Write complex SQL queries for data analysis, transformation, and reporting.
  • Optimize queries, manage caching, clustering, and leveraging auto-scaling to handle workloads.
  • 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).
  • Ensure compliance with SSA security, privacy, and data management policies.
  • Provide guidance/support to other junior/mid-level developers.
  • All other duties as assigned or directed.

Requirements

  • Selected candidate must be willing to work on-site in Woodlawn, MD 5 days a week
  • Selected candidate must be able to obtain and maintain a public trust clearance, * Experience with PostgreSQL, SQL, Database management, Data Modelling, Data Analysis, Splunk and Server Patching., BASIC QUALIFICATION:
  • Master’s and 5+ years of experience, Bachelor’s and 7+ years of experience or 13+ years in lieu of a degree\
  • 10+ years as a Database Admin/Architect, * Skilled in PostgreSQL database management, data modeling, normalization, and schema design.
  • Advanced skills in writing complex SQL queries for data analysis, transformation, and reporting.
  • Skilled in designing backup, disaster recovery, high availability, and failover solutions (Multi-AZ, read replicas).
  • Strong experience with database architecture, configuration, installation, backup and recovery.
  • Experience with AWS RDS PostgreSQL or other cloud PostgreSQL platforms
  • Strong experience with Logical and Physical data modelling
  • Experience with Server patching
  • Experience with Splunk
  • 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).

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.

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