Database Architect (Cloud) for SRA

Black Canyon Consulting

Bethesda (MD)

On-site

USD 100,000 - 130,000

Full time

14 days+

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Benefits offered by this job

Medical, dental and vision coverage
401k plan with employer contribution
Paid holidays and vacation
Tuition reimbursement

Job summary

Black Canyon Consulting is seeking a Database Architect with expertise in cloud technologies to support the National Center for Biotechnology Information (NCBI). This full-time position focuses on designing and optimizing large-scale databases for biomedical research, ensuring performance, scalability, and reliability.

The role requires 5+ years of experience with cloud-hosted databases and advanced SQL capabilities. The company offers a competitive salary and comprehensive benefits, including medical coverage, 401k contributions, and paid time off.

Qualifications

  • 5+ years of professional database experience with large, distributed, or cloud-hosted databases.
  • Advanced proficiency in SQL including schema design and query optimization.
  • Hands-on experience with Linux/UNIX environments and scripting (Bash, Python).

Responsibilities

  • Design and optimize cloud-based database architectures for petabyte-scale biomedical datasets.
  • Implement and manage database partitioning, sharding, and replication strategies.
  • Tuning queries, schemas, and indexing strategies for high-throughput workloads.

Skills

Cloud-based database design
SQL optimization
Database partitioning
Linux/UNIX scripting
Cloud database services

Tools

Amazon RDS
Azure SQL Server
Docker

Job description

Black Canyon Consulting (BCC) is searching for a Database Architect with expertise in Cloud Technologies to support National Center for Biotechnology Information (NCBI), part of the U.S. National Library of Medicine, National Institutes of Health. This opportunity is full time and onsite at the NCBI in Bethesda, MD.

The Database Architecture will design, optimize, and maintain large-scale, distributed database systems powering NCBI’s premier biomedical data resources. This role focuses on scalable database architectures, partitioning strategies, and cloud-native solutions to support massive, complex datasets driving global biomedical and public health research.

Duties & Responsibilities
  • Design and optimize cloud-based database architectures to support petabyte-scale biomedical datasets.
  • Implement and manage database partitioning, sharding, and replication strategies to ensure performance, scalability, and reliability.
  • Tune queries, schemas, and indexing strategies for high-throughput workloads.
  • Support production-level data operations in complex, high-availability environments.
  • Work with cross-functional teams to integrate cloud-native data services with pipelines and APIs.
  • Troubleshoot database performance issues and implement proactive monitoring solutions.
Core Expertise
  • 5+ years of professional database experience with large, distributed, or cloud-hosted databases.
  • Advanced proficiency in SQL: schema design, query optimization, indexing, stored procedures.
  • Deep knowledge of database partitioning and sharding strategies in cloud environments.
  • Hands-on experience with Linux/UNIX environments and scripting (Bash, Python).
  • Familiarity with cloud database services (AWS RDS, Aurora, Athena, Google BigQuery, or equivalent).
  • Experience operating databases in production with high concurrency and large-scale data ingestion.
  • Strong troubleshooting skills for performance bottlenecks, query execution plans, and distributed systems.
Preferred Qualifications
  • Experience with Microsoft SQL Server and advanced features (partitioning, indexing strategies).
  • Familiarity with bioinformatics databases or large scientific datasets.
  • Experience with containerized workloads (Docker) and orchestration (Kubernetes).
  • Knowledge of XML schemas and structured/unstructured data integration.
  • Exposure to Data Warehouse, Data Lake, or Data Lakehouse concepts.
  • Interest in learning Big Data platforms (Apache Spark, Hadoop) and data science tools (Jupyter).
  • Proficiency in additional programming languages (Python, C++).
Benefits and Salary

We attract the best people in the business with our competitive benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, and tuition reimbursement.

We offer a competitive salary commensurate with experience and location. If you enjoy being a part of a high performing, professional service and technology focused organization, please apply today!

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