Data Architect
USA DC Washington - 3801 Nebraska Ave (DCC057)
Full Time Senior-level / Expert USD 127K - 172K
General Dynamics Information Technology
Delivering consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community.Type of Requisition:
RegularClearance Level Must Currently Possess:
Top Secret/SCIClearance Level Must Be Able to Obtain:
Top Secret/SCISuitability:
Public Trust/Other Required:
Job Family:
Data ScienceJob Qualifications:
Skills:
Agile Methodology, Data Architecture, Data Management, Product Management, Stakeholder ManagementCertifications:
Experience:
6 + years of related experienceUS Citizenship Required:
YesJob Description:
As a Data Engineer, 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 the establishment of an IT Architecture practice, and the adoption of 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 as well as defining the vision and requirements for the solution, recommending potential options, selecting the most optimal option, and the development of a roadmap for the selected solution. Communicates the architecture to the stakeholders and collaborates and coordinates with existing domain architects in the formalization and adoption of IT standards and procedures.
A successful data architect must possess superior analytical skills and be detail-oriented. Data architects require the ability to communicate effectively as part of a larger team within the information technology department. Additionally, a data architect will need to explain complex technical concepts to non-technical staff.
Qualifications:
- TS-SCI clearance
- Bachelor’s degree or equivalent practical experience.
- Analyzing, planning, and defining data architecture framework, including security, reference data, metadata, and master data
- Creating and implementing data management processes and procedures
- Understanding of cloud architectures and enabling 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 with software platforms and services, such as, Docker, Kubernetes, JMS/SQS, SNS, Kafka, AWS Lambda, NiFi, Airflow, or similar.
- Working knowledge with datastores 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 with Collaboration tools, such as, Jira and Confluence.
Preferred Qualifications:
- Master’s degree or equivalent experience 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 architectures and 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 with 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, aligning 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 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
GDIT IS YOUR PLACE:
- 401K with company match
- Comprehensive health and wellness packages
- Internal mobility team dedicated to helping you own your career
- Professional growth opportunities including paid education and certifications
- Cutting-edge technology you can learn from
- Relax and recharge with paid vacation and holidays
Scheduled Weekly Hours:
40Travel Required:
Less than 10%Telecommuting Options:
HybridWork Location:
USA DC WashingtonAdditional Work Locations:
Total Rewards at GDIT:
Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 30 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.We connect people with the most impactful client missions, creating an unparalleled work experience that allows them to see their impact every day. We create opportunities for our people to lead and learn simultaneously. From securing our nation’s most sensitive systems, to enabling digital transformation and cloud adoption, our people are the ones who make change real.GDIT is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.Tags: Agile Airflow APIs Architecture AWS Confluence Consulting Data management Data warehouse DevOps Docker DynamoDB Engineering ETL Jira Kafka Kubernetes Lambda Linux Machine Learning MongoDB NiFi PostgreSQL Redshift Security
Perks/benefits: 401(k) matching Career development Competitive pay Flex hours Flex vacation Health care Insurance Medical leave Parental leave
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Junior Data Analyst jobs
- Open Data Science Manager jobs
- Open Data Engineer II jobs
- Open Principal Data Scientist jobs
- Open Business Data Analyst jobs
- Open BI Analyst jobs
- Open Data Scientist II jobs
- Open Sr Data Engineer jobs
- Open Business Intelligence Engineer jobs
- Open Lead Data Analyst jobs
- Open Sr. Data Scientist jobs
- Open Data Science Intern jobs
- Open Senior Business Intelligence Analyst jobs
- Open Software Engineer, Machine Learning jobs
- Open Junior Data Scientist jobs
- Open Azure Data Engineer jobs
- Open MLOps Engineer jobs
- Open Manager, Data Engineering jobs
- Open Data Analytics Engineer jobs
- Open Marketing Data Analyst jobs
- Open Data Engineer III jobs
- Open Junior Data Engineer jobs
- Open Data Analyst II jobs
- Open Data Engineering Manager jobs
- Open ETL Developer jobs
- Open Data quality-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Excel-related jobs
- Open ML models-related jobs
- Open Data pipelines-related jobs
- Open APIs-related jobs
- Open PhD-related jobs
- Open PyTorch-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open LLMs-related jobs
- Open Consulting-related jobs
- Open TensorFlow-related jobs
- Open Deep Learning-related jobs
- Open Business Intelligence-related jobs
- Open Generative AI-related jobs
- Open CI/CD-related jobs
- Open NLP-related jobs
- Open Data governance-related jobs
- Open DevOps-related jobs
- Open Kubernetes-related jobs
- Open Git-related jobs
- Open Hadoop-related jobs
- Open Docker-related jobs