DATA ARCHITECT

Job Description

Igniters operate in the world’s most demanding environment. Igniters are self-motivated, mission-driven, and relentless in solving the Warfighters’ hardest problems. We move fast, think differently, and execute with precision to tackle high-stakes challenges across AI/ML, space and missile defense intelligence, EMSO, advanced analytics, and programmatic domains. As an employee-owned SDVOSB headquartered in Huntsville, AL, our team delivers mission-critical impact for the Army, Air Force, Space Force, MDA, NASA, DIA, and FBI.

Ignite exists to outpace the threat and deliver results that matter in the moments that count.

Ignite is currently seeking a driven, detail-oriented Data Architect to join our team of Employee Owners supporting the Space and Missile Defense Command in Huntsville, AL. This position is expected to be on-site.

Job Requirements

This position designs, implements, and operates data management systems for business operational needs. Designs and manages command data governance overseeing how data is stored, accessed, used, and integrated by different data regimes and digital systems throughout the organization. Works with data users to determine, create, and populate optimal data architectures, structures, and systems. Plans, designs, and optimizes data throughput and query performance. Participates in the selection of backend database technologies (e.g. SQL, NoSQL, HPC, etc.), their configuration and utilization, and the optimization of the full data pipeline infrastructure to support the actual content, volume, ETL, and periodicity of data to support the intended kinds of queries and analysis to match expected responsiveness.

Job Requirements

Responsibilities Include, But Are Not Limited To

Maintains and extends existing data centralization and automation software.

• Possesses proven work experience or formal training as a Data Engineer or similar role.
• Provides expertise in Python software development.
• Uses Python to read, create, and modify relational and graph databases.
• Uses Python to provide REST API services for databases.
• Uses GIT for software version control.
• Familiarity with Agile development methodologies.
• Familiarity full software development life cycle (SDLC)
• Complies with industry standards and best practices.
• Maintains and extends existing automation tools.
• Designs and implements data pipelines for extract, transform, and load operations.
• Designs and implements pipelines for task automation.
• Uses Python to develop production machine learning pipelines from existing prototype models.
• Works with data scientists and algorithm developers to design and implement software applications pertaining to data pipelines.
• Maintains and extends existing data infrastructure.
• Provides expertise in databases and database design, including both SQL, NoSQL, and ORMs.
• Provides expertise in developing data models for various data modalities.
• Maintains and extends software documentation according to 'best practices'.
• Create technical documentation, flow charts, and specifications for reference, reporting, and security.

Collaborates with SMDC personnel and shares leading practices and lessons learned in formal training events.

Collaborates with other contractor teams supporting each division across SMDC who will operate as domain-specific mission owners. These contractor teams will provide the necessary domain-expertise as it pertains to SMDC’s mission. Additionally, these contractor teams develop and maintain domain specific data processing and analytic tools that will be integrated into automated workflows and applications developed under this effort.

Desired Experience

• Proficient in Python and SQL
• Army Vantage
• Palantir Foundry
• Agile methodologies
• Design and implement data pipelines

Security Clearance Requirements

• Must be a US citizen and be able to obtain and hold an active Top Secret/SCI Security Clearance.

Education Requirements

• Bachelor’s degree

Other Requirements

• 10+ years’ experience in data engineering, data science, software engineering, machine learning engineering.