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# Mid-Level Cloud Data Architect

- **Company:** Nyla Technology Solutions
- **Location:** Annapolis Junction, MD, United States
- **Experience:** Experienced
- **Salary:** $139,000.0 - $164,000.0
- **Contract:** Permanent contract
- **Skills:** Big Data, Cloud Database, Cloud Storage, Computational Linguistics, Databases, Continuous Integration, Data Architecture, Extract Transform Load (ETL), Data Warehousing, Database Design, Database Queries, Database Security, Database Storage Structures, Computer Data Storage, Distributed Computing Environment, Amazon DynamoDB, Liquibase, MongoDB, NoSQL, Open Database Connectivity, Object-Oriented Software Development, Parsing, Performance Tuning, Software Engineering, SQL Stored Procedures, SQL Databases, Data Processing, Macros, Snowflake, Apache Spark, Database Migration, Information Technology, Deployment Automation, Cassandra, Apache Kafka, Apache Nifi, Data Management, Amazon Redshift
- **Published:** October 16, 2026
- **Apply:** https://www.thejobnetwork.com/job/ed9732b5-6cda-481c-bc5d-2908ca679b1b/midlevel-cloud-data-architect

## About the Role

* Database Architecture Design: Proven expertise in database design, development, logical and physical data modeling, and information storage and retrieval for relational and Object-Oriented databases.
 * Lifecycle Experience (Requirements to IOC): Demonstrated experience leading database engineering efforts across the early software lifecycle-translating complex requirements into usable database structures, schemas, and acceptance tests.
 * Parser Data Loading Software: Hands-on skill developing custom database parser software, ETL scripts, macros, and automated loading mechanisms.
 * Query Development Data Manipulation: Mastery of ad-hoc queries, SQL scripting, stored procedures, and tables to extract, transform, manipulate, and consolidate large-scale data into master data repositories.
 * Trade-Off Analysis Performance Tuning: Ability to analyze and optimize trade-offs between data volume, user access, logical/physical distribution, security controls, and query response times.
 * Cloud Database Technologies: Experience leveraging Cloud storage methodologies, database technologies, and Open Database Connectivity (ODBC) for integration.

Education: Bachelor's Degree in Data Science, Computer Science, Computational Linguistics, Mathematics, or a related technical discipline, PLUS 5+ years of professional experience in data science, NLP, or software engineering OR High School Diploma / GED, PLUS 10+ years of specialized technical experience in lieu of a degree.

, Desired Skills

Cloud Data Warehouses NoSQL: Familiarity with NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB) and cloud-based data warehouses (e.g., AWS Redshift, Snowflake).

Big Data Integration: Experience integrating database systems with distributed data processing frameworks such as Apache Spark, Kafka, or NiFi.

Database Security Access Control: Knowledge of fine-grained access control (FGAC), encryption at rest/in transit, and row/column-level security implementations.

Automated Migration CI/CD: Exposure to database migration tools (e.g., Flyway, Liquibase) and automated deployment pipelines.

## Description

We are seeking a Database Engineer to provide technical expertise across database design, development, implementation, and complex data modeling for critical defense and intelligence customer missions. In this role, you will work primarily across the front-end of the development lifecycle-from initial requirements gathering through system acceptance testing and Initial Operational Capability (IOC). You will architect relational and Object-Oriented databases, develop custom parsers and automated loading software, and balance technical trade-offs across data volumes, user concurrency, security controls, and response times. Additionally, you will build complex database queries, leverage Open Database Connectivity (ODBC), and implement cloud-native storage and retrieval strategies.