Senior Systems Analyst (Job ID:4679)

Valkyrie•Huntsville, AL

About The Position

Valkyrie Enterprises is seeking a Senior Systems Analyst in Huntsville, Alabama, contingent upon prime contractor approval. The role supports the Missile Defense Agency's Next Generation Software Office by developing data pipelines, querying databases, and optimizing dashboards in cloud-based environments. The analyst will implement continuous integration, delivery, and deployment practices; automate data-quality testing and version-controlled transformation workflows; and work with government leads and other stakeholders to establish data dictionaries, data governance standards, and resilient automated data flows. The position also develops procedures for data-lake ingestion, database access controls, pipeline troubleshooting, and disaster recovery. It works with cybersecurity and system administration teams to enforce Department of War security protocols, including RBAC, IAM boundaries, and zero-trust principles. The role requires an active Secret clearance and the ability to obtain and maintain a Top Secret (SCI) clearance. Travel is required at 10% or less. Candidates traveling by domestic flight or accessing secure federal facilities or military bases must obtain and maintain appropriate identification credentials, such as REAL ID, by the start of the position.

Requirements

Master's degree and at least 12 years of relevant experience, or bachelor's degree and at least 20 years of relevant experience.
Knowledge of cloud-native ETL/ELT pipelines using managed cloud utilities such as AWS Glue or Azure Data Factory.
Experience using SQL/T-SQL, including queries, window functions, and stored procedures, with cloud data warehouses such as Snowflake, AWS Redshift, or Azure Synapse.
Experience using Python to write resilient data-collection, API-integration, and ingestion-automation scripts.
Knowledge of government financial operations, including cloud infrastructure billing metrics, database utilization, and cost-optimization strategies.
Proven ability to produce professional data dictionaries and end-to-end data-lineage diagrams.
Ability to develop data dictionaries defining tables, columns, data types, machine-readable metadata tagging for data payloads, and business rules.
Ability to communicate complex technical concepts clearly to technical teams and senior military or government leadership.
Knowledge of cloud-based data lakes and distributed cloud storage architectures such as AWS S3 or Azure Blob.
Knowledge of Department of War security protocols, including IAM policies, least-privilege access, and encryption at rest and in transit within IL5/6 and CUI parameters.
Active Secret clearance, with the ability to obtain and maintain a Top Secret (SCI) clearance.
For applicable travel or secure-facility access, ability to obtain and maintain appropriate identification credentials, such as REAL ID, by the start of the position.
Ability to meet applicable pre-employment requirements, which may include background investigation, employment and education verification, drug screening, driving-record review, clearance eligibility, and government-installation access.
Able to remain stationary, often standing or sitting, for prolonged periods; work at a computer for long periods; move about to accomplish tasks or between worksites; communicate to exchange information; and perform light work involving objects up to 20 pounds.

Nice To Haves

Experience establishing DataOps and GitOps methodologies, including automated linting, test-driven data development, and blue/green or canary pipeline deployments.
Ability to develop visual and written flows showing where raw data originates, how it is transformed, and where it is displayed.
Experience developing reports and dashboards using cloud-native BI solutions such as AWS QuickSight, Microsoft Power BI service, or Tableau Cloud connected to live cloud data sources.
Exposure to AI and ML model operations (MLOps) integrated with enterprise data lakes, such as AWS SageMaker or Azure ML.
Industry-recognized certifications such as AWS Certified Data Engineer, Solutions Architect, or DevOps Engineer; Microsoft Certified Azure Data Engineer Associate or Azure DevOps Engineer; Expert FinOps Certified Practitioner (FOCP); or CompTIA Security+ CE or equivalent DoD 8570/8140 baseline certification.

Responsibilities

Implement continuous integration, delivery, and deployment best practices.
Automate data-quality testing and version-controlled transformation workflows across pipeline components.
Work with the government lead to develop and maintain centralized enterprise data dictionaries, including table structures, schemas, column-level definitions, data types, and business rules.
Develop procedures for data-lake ingestion, database access controls, pipeline troubleshooting, and disaster recovery.
Interface with cybersecurity and system administrators to enforce security protocols, including RBAC, IAM boundaries, and zero-trust principles.
Work with government agencies, prime contractors, and other stakeholders to define data governance standards and build resilient, automated data flows.
Support development of data pipelines, database querying, and dashboard optimization in cloud-based environments.
Track and analyze cloud infrastructure billing metrics and database utilization, and execute cost-optimization strategies.
Produce data dictionaries and end-to-end data-lineage diagrams.