Description
Description
SAIC, a leading provider of systems development & deployment, targeting & intelligence analysis, systems engineering & integration for the Intelligence Community, is seeking creative and dedicated professionals to fulfill their career goals and objectives while delivering mission excellence on programs of national importance. Join our team today as we Bring on Tomorrow!
SAIC seeks an experienced, results-oriented, mission-driven Chief Data Architect to design and implement enterprise-wide data architecture and the development of the data management platform in support of national security objectives. You'll be part of agile teams responsible for increasing innovation capacity and driving the velocity of development of data ingestion and data analysis. You will synchronize efforts with other tasks in assembling data technologies to control the flow of data from source to value, with the goal of speeding up the process of deriving value and insight. The ideal candidate will have a passion for unlocking the secrets held by a dataset and solid understanding and experience leading technical teams to deliver enterprise data capability which enables the Sponsor to realize value through consistent, accurate, reliable and high-quality data and leading-edge data, reporting and analytical solutions.
Chief Data Architect will drive the creation and implementation of data standards, databases, ETL solutions, and oversight and directions to integrate transformative technologies to improve tooling and maintaining operational continuity. Join SAIC to support this three year contract, and stay with SAIC for the rest of your career!
About SAIC
SAIC® is a premier Fortune 500® technology integrator driving our nation's technology transformation. Our robust portfolio of offerings across the defense, space, civilian, and intelligence markets includes secure high-end solutions in engineering, digital, artificial intelligence, and mission solutions. Using our expertise and understanding of existing and emerging technologies, we integrate the best components from our own portfolio and our partner ecosystem to deliver innovative, effective, and efficient solutions that are critical to achieving our customers' missions.
We are more than 26,500 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer, fostering a respectful work culture based on diversity, equity, and inclusion that values all contributors. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.1 billion. For more information, visit saic.com.
Qualifications
Qualifications - External
Required Qualifications:
· Must have active/current TS/SCI with Polygraph Clearance
· Bachelors and eighteen (18) years or more experience; Masters and sixteen (16) years or more experience; PhD or JD and fifteen years or more experience.
· 5 + years of experience as a Data Architect, Data Engineer or related role developing ETL.
· 5 + years programming with Java, JavaScript, Python.
· 5 + years of experience using and ingesting data into SQL and NoSQL database systems
· 5+ years of experience developing data models (conceptual, logical, physical)
· 5+ years of experience developing and maintaining data processing flows using NiFi
· Experience with Amazon Web Services (AWS or Azure)
· Experience working with Linux OS
· Experience with JIRA and Confluence, and the rest of the Atlassian suite
Desired Qualifications
· Experience with Data Warehouse and Data Lake concepts for reporting, analytics, and data mining
· Experience with development of project work plans, milestone tracking, and coordination of efforts
· Excellent organizational and analytical abilities, and able to compile and organize statistical information retrieved and present findings to management
· Effective communication working in diverse teams.
SAIC accepts applications on an ongoing basis and there is no deadline.
Covid Policy: SAIC does not require COVID-19 vaccinations or boosters. Customer site vaccination requirements must be followed when work is performed at a customer site.
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