Data Architect with Security Clearance

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Job description

Data Architect Description
An active TS/SCI is a prerequisite for consideration.
Onsite in DC 2-3 days a week As a Data Architect, you will be responsible for the design, structure, and maintenance of data. You will ensure the accuracy and accessibility of data relevant to the project. The management and organization of data requires proficiency in database design (Concept Maps, ER Diagrams, etc). Responsible for assisting in establishing an IT Architecture practice and adopting an architecture and standards methodology. You will be responsible for managing activities that take place during solution ideation, solution design, and solution implementation. Review business context for solutions to client challenges, define the vision and requirements for the solution, recommend potential options, select the most optimal option, and develop a roadmap for the selected solution. Communicates the architecture to the stakeholders and collaborates and coordinates with existing domain architects to formalize and adopt IT standards and procedures. A successful data architect must possess superior analytical skills and be detail-oriented. Data architects must communicate effectively as part of a larger team within the information technology department. Additionally, a data architect must explain complex technical concepts to non-technical staff. Qualifications:
• TS-SCI clearance • Bachelor's degree or equivBachelor'stical experience. • Analyzing, planning, and defining data architecture framework, including security, reference data, metadata, and master data • Creating and implementing data management processes and procedures • Understand cloud architectures and enable tools and technologies, such as AWS Cloud (GovCloud/C2S). • Familiar with Amazon Web Managed Services (AWS). • Ensuring the integrity of data backup and storage systems • Monitoring security software and tools • Responding to security or usability concerns quickly • Comprehensive grasp of data warehouse design best practices for data modeling and ETL system design • Working knowledge of software platforms and services, such as Docker, Kubernetes, JMS/SQS, SNS, Kafka, AWS Lambda, NiFi, Airflow, or similar. • Working knowledge of data stores MongoDB/DynamoDB, PostgreSQL, S3, Redshift, JDBC/ODBC, and Redis. • Experience in performance tuning of applications, including data model and schema optimization • Familiar with Linux/Unix server environments. • Experience with Agile development methodology. • Analyze and document solution complexity and interdependencies. • Working knowledge of collaboration tools, such as Jira and Confluence. Preferred Qualifications:
• Master's degree or equivalent: Master's degree in a related field. • Familiarity and experience with the Intelligence Community (IC) and the intel cycle. • Familiarity and experience with the Department of Homeland Security (DHS). • Direct experience with DHS and Intelligence Community (IC) component's data architect component's environments (IC-GovCloud experience preferred). • Developing application programming interfaces (APIs) to retrieve data • Keen interest in learning and using the latest software tools, methods, and technologies to solve real-world problem sets vital to national security. • Working knowledge of public keys and digital certificates. • Experience with DevOps environments. Responsibilities:
• Bullets of responsibilities of the role, examples: • Define and communicate a clear product vision for our client's software products with user needs and business objectives. • Create and manage product roadmaps that reflect both innovation and growth strategies. • Partner with a government product owner and a product team of 7-8 FTEs. • Manage production data within multiple datasets, ensuring fault tolerance and redundancy. • Provide Tier 3 technical support for deployed applications and dataflows. • Collaborate with the rest of the data engineering & architecture team to design and launch new features and services. Skills:
• Stakeholder Management • Effective Team Communication • Product Management • Data Management • Security • Data Architecture • Amazon Web Services • Agile • Intelligence Community • Client Engagement

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