Enterprise Architect - Data Engineer

Arcfield; McLean (VA); On-site; USD 125,000 - 218,000; Full time

Benefits offered by this job

Health Insurance

Life Insurance

Paid Time Off

Holiday Pay

Short Term and Long-Term Disability

Retirement and Savings

Learning and Development opportunities

Wellness programs

Other optional benefit elections

Job summary

Arcfield is seeking an Enterprise Architect - Data Engineer to design and implement scalable data architectures and enterprise information management practices supporting sponsor missions. The role spans data modeling, pipeline development, data quality, and compliance-focused data stewardship, documentation, and security requirements.

The position is based in McLean, VA and requires an active TS/SCI clearance with polygraph.

Qualifications

• Active TS/SCI clearance with polygraph required.
• Bachelor's degree in a technical field or equivalent experience.
• Experience with cloud data platforms (AWS, GCP, Azure).
• Strong background in data modeling, pipelines, and governance.
• Experience with data security, stewardship, and documentation.

Responsibilities

• Design scalable data architectures for real-time processing.
• Lead data pipeline development and data integration.
• Implement data quality checks and governance processes.
• Collaborate with stakeholders to deliver data-driven solutions.
• Develop data filtering/processing algorithms for external sources.
• Guide Enterprise Information Architecture initiatives.
• Support customers and translate data concepts for engineers.

Skills

TS/SCI clearance

Security clearance

Cloud platforms

Data architecture

Data pipelines

Data governance

Python/Java/C++

Data modeling

Information architecture

Security/compliance

Education

Bachelor's degree (CS/IS/Engineering/related)

Tools

Tableau

Power BI

UML/ER/DFD

Job description

Arcfield is seeking an Enterprise Architect - Data Engineer to design and implement scalable data architectures and enterprise information and data management practices in support of a sponsor mission. The role spans data modeling, pipeline development, data quality, and the application of compliance-focused data stewardship, documentation, and security requirements.

The position is based in McLean, VA and requires an active TS/SCI clearance with polygraph. You will provide technical leadership across enterprise information architecture, ensuring interoperability across transaction systems, document management systems, and information delivery systems.

Key Responsibilities

• Design and implement scalable data architectures for real-time processing and integration, aiming to enable mission outcomes while reducing cost and complexity.
• Collaborate with a Data Scientist to deliver data streams of interest and prioritize data types for faster analysis.
• Develop and maintain data pipelines and data integration capabilities.
• Create and run data quality checks to support reliable operations.
• Partner with high-priority stakeholders to deliver data-driven solutions.
• Coordinate with downstream data repositories to ensure requirements are met and data flow is optimized.
• Support customers who may be unfamiliar with data or data engineering concepts, including targeters and engineers.
• Develop data filtering and processing algorithms, including new data flows that integrate external sources into sponsor repositories using AWS methods and non-traditional options.
• Ensure adherence to relevant data stewardship, documentation, and security requirements.
• Provide technical direction for implementing enterprise information and data management practices.
• Lead and participate in information and data management projects, including Enterprise Information Architecture, information models and flows, data dictionaries, data standards, and data quality processes and standards.
• Develop and maintain a logical Enterprise Information Architecture that supports seamless interoperability among transaction systems, document management systems, and information delivery systems.

Required Qualifications

• Maintain a TS/SCI clearance with polygraph.
• Bachelor's degree (or equivalent experience) in Computer Science, Information Systems, Engineering, Business, or a related scientific or technical discipline.
• BS 10-12, MS 8-10, PhD 5-7.
• Knowledge of and experience with the Sponsor’s environment.
• Experience with cloud-based data platforms such as AWS, GCP, or Azure.
• System architecture and implementation of data solutions.
• Data engineering tools and techniques, including programming in Python, Java, or C++.
• Experience building data pipelines and integrating multiple data sources.
• Ability to work with challenging data sets and develop data filtering and processing algorithms.
• Experience developing information architectures aligned with information lifecycle management.
• Perform conceptual, logical, and physical data modeling using data modeling tools and database design techniques in complex, large-scale environments.
• Experience with transactional, dimensional, and object-oriented modeling.
• Ability to develop scalable entity designs using advanced data structures (for example, tall tables).
• Experience developing data models supporting time dependencies, historical tracking, simple and complex taxonomies, and multilingual data.
• Create data dictionaries, define metadata management approaches, and establish governance processes.
• Develop and implement IT architecture plans, including Enterprise Information Architecture standards and guidelines, software development methodologies, and strategic plans.
• Develop data sharing standards and architect scalable service-oriented solutions.
• Create enterprise models incorporating master and reference data.
• Solid understanding of transaction and information systems, data warehouses, data marts, ODS, MDM methodologies and life cycles, plus ETL and MDM technologies.
• Knowledge of application modeling languages and techniques (for example, UML, OML, entity relationship modeling, DFDs), including the ability to create and read associated diagrams.

Technologies

• AWS, GCP, Azure
• Python, Java, C++
• TensorFlow, PyTorch
• Tableau, Power BI
• UML, OML, entity relationship modeling, DFDs
• ETL, MDM
• Data modeling tools, data dictionaries

Preferred

• Familiarity with data visualization tools such as Tableau or Power BI.
• Experience with machine learning frameworks such as TensorFlow or PyTorch.
• Experience with data quality management and data validation techniques.
• Ability to work with sensitive data sources and develop data anonymization algorithms.

Compensation

USD 125,133 - 217,582 per yearly.

Benefits

• Health Insurance
• Life Insurance
• Paid Time Off
• Holiday Pay
• Short Term and Long-Term Disability
• Retirement and Savings
• Learning and Development opportunities
• Wellness programs
• Other optional benefit elections