Enterprise Architect - Data Engineer

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 position focuses on leading data modeling, data pipeline development, data quality, and establishing the documentation and security posture needed for compliant data stewardship.

This onsite role is based in McLean, VA and supports mission teams by translating complex data engineering needs into data-driven solutions that downstream repositories and stakeholders can use effectively.

Responsibilities

• Design and implement scalable data architectures for real-time data processing and integration, balancing mission enablement with minimized cost and complexity.
• Collaborate with the Data Scientist to deliver data streams of interest and prioritize data types for faster analysis.
• Develop data pipelines to support data integration.
• Develop and maintain data quality checks.
• Work with high-priority stakeholders to deliver data-driven solutions.
• Partner with downstream data repositories to ensure needs are met and data flow is optimized.
• Support customers who may be unfamiliar with the data or data engineering concepts, including targeters and engineers.
• Develop data filtering and processing algorithms.
• Establish new data flows integrating external data sources into Sponsor repositories using AWS methods and non-traditional options.
• Ensure compliance with relevant data stewardship, documentation, and security requirements.
• Provide technical leadership and direction for 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
  • Data quality processes and standards
• Develop and maintain a logical Enterprise Information Architecture enabling information interoperability among transaction systems, document management systems, and information delivery systems.

Requirements

• Maintain 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.
• Programming languages including Python, Java, or C++.
• Building data pipelines and integrating multiple data sources.
• Working with challenging data sets and developing data filtering and processing algorithms.
• 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.
• Transactional data modeling, dimensional modeling, and object-oriented modeling.
• Develop scalable entity designs using advanced data structures (for example, tall tables).
• Develop data models supporting time dependencies, historical tracking, taxonomies, and multilingual data.
• Create data dictionaries, define metadata management approaches, and establish governance processes.
• Develop and implement IT architecture plans, 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, and ETL and MDM technologies.
• Knowledge of application modeling languages/techniques such as UML, OML, entity relationship modeling, and DFDs, including ability to create and read the 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

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

Desired

• 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.

Salary: USD 125,133 - 217,582 per yearly.

Education: Bachelor’s degree (or equivalent experience).