DescriptionSAIC is seeking a Data Architect to support our customer. This position will work directly with a Chief Data & Artificial Intelligence Officer (CDAO) to develop guidance for data standards, metadata guidelines, and the data architecture principles, standards, guidelines and concepts.This position will also be responsible for the following:<ol><li>Develop architectural strategies for data modeling, design, and implementation to meet enterprise requirements.</li><li>Work closely with government customers and relevant stakeholders to validate customer requirements.</li><li>Assist the ODNI CDAO in providing strategic direction and technical expertise, and contribute to the IT Data Governance Boards and working groups.</li><li>Assist the ODNI CDAO in developing data implementation roadmaps and data standards for interoperability, quality, and entity and data attributes that will allow the ODNI CDAO to manage ODNI’s dataset inventory and help increase the data literacy across the whole of ODNI.</li><li>Help develop and deliver long-term strategic goals for data architecture, in conjunction with data owners, mission managers and stakeholders.</li><li>Design and implement effective data solutions to ingest, curate, store and retrieve agency mission, business and IC data.</li><li>Participate in data standards committees and drive/manage operational data standards to include investigating, implementing, improving, and converting legacy data standards.</li><li>Provide leadership for complex projects throughout the development of project work plans, milestone tracking, and coordination of efforts.</li><li>Create and implement data business rules and data lifecycle management and data mapping documents and assist customer in mapping of legacy data models to target data models.</li><li>Contribute to and collaborate on executive-level briefings for ODNI CDAO and develop best practices, processes and standards for data migration.</li><li>Collaborate with Chief Data Architect, system architects and security architects.</li><li>Strong data architecture and analytical skills are essential to complete job requirements successfully.</li></ol>Qualifications<ol><li>Current TS/SCI with Poly is required.</li><li>Bachelor’s degree in Computer Science, Computer Engineering, or relevant STEM field.</li><li>10+ years of total professional experience in a technical setting; with at least 5 of those years as a Data Architect, or related role.</li><li>Experience developing requirements for the integration of data services, and requirements for a centralized data catalog, and developing requirements for data management technology.</li><li>Experience participating in data standards committees to drive/manage operational data standards to include investigating, implementing, improving, and converting legacy data standards.</li><li>Experience creating data mapping documents and assist customer in mapping of legacy data models to target data models.</li><li>Applying new data technologies, data management processes, system analysis principles and techniques, process engineering concepts, and assessing data solutions for compliance and conformance with guidelines and policies.</li><li>Understanding of the use and maintenance of data dictionaries, data models, and data maps in an enterprise business software environment.</li><li>Experience with programming languages like Python, Java, SQL and Cloud technologies.</li><li>Ability to work in a dynamic and fast-paced mission environment which requires balancing competing priorities and schedules.</li></ol>Desired Skills:<ol><li>Have a depth of experience in data science, to include demonstrated experience with programming languages (e.g. Python, SQL), statistical programs (e.g. R and MS Excel), and data visualization tools (e.g. Tableau, Power BI, QlikView).</li><li>Database administrator certification such as AWS, Microsoft, Oracle, or MongoDB.</li><li>Demonstrated experience with data architecture tools to include or similar to ER/Studio, Erwin or Lucid Chart.</li><li>Have experience working in Agile and DevOps environments.</li></ol>
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DescriptionSAIC is seeking a experienced, results-oriented, mission-driven Big Data Architect with specialized focus on Data Engineering to perform data model design, data formatting, and ETL development optimized for efficient storage, access, and computation in support of national security objectives.Responsibilities include, but are not limited to:As part of an Agile team, increase innovation capacity and drive the velocity of development of data ingestion and data analysis.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.Passion for unlocking the secrets held by a dataset and solid understanding and experience with developing, automating, and enhancing all parts of the data pipeline to include ingestion, processing, storage, and exposing data for consumption.Implements data tests for quality and also focuses on improving inefficient tooling and adopting new transformative technologies while maintain operational continuity.#LI-CKTQualificationsRequired:Active TS/SCI with Polygraph ClearanceBachelors Degree in Computer Science, Information Systems, Engineering or years of experience in lieu of degree14 years of overall related professional experience3+ years' experience with hands on development experience using Java, JavaScript, Python to ETL data.ETL experience, including formats such as XML, JSON and YML, and normalizing data and high-volume data ingestion.3+ years' experience using and ingesting data into SQL and NoSQL database systemsFamiliarity with the NEXIS platformExperience with Apache NiFiExperience programming in Apache Spark and PySparkDesired:Familiarity with building Containerized Services (e.g. via Docker)Familiarity with Databricks platformExperience developing and maintaining data processing flows.Experience with Amazon Web Services (AWS)Experience with CI/CD pipelineExperience with Agile Methodologies and Kanban FrameworkExperience with utilizing relational databases including the use of MySQL and/ or Oracle for designing database schemasExperience with Linux, REST services, and HTTPSAIC 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. REQNUMBER: 2410830SAIC is a premier technology integrator, solving our nation's most complex modernization and systems engineering challenges across the defense, space, federal civilian, and intelligence markets. Our robust portfolio of offerings includes high-end solutions in systems engineering and integration; enterprise IT, including cloud services; cyber; software; advanced analytics and simulation; and training. We are a team of 23,000 strong driven by mission, united purpose, and inspired by opportunity. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $6.5 billion. For more information, visit saic.com. For information on the benefits SAIC offers, see Working at SAIC. EOE AA M/F/Vet/Disability

Description SAIC is seeking a Data Architect to support our customer. This position will work directly with a Chief Data & Artificial Intelligence Officer (CDAO) to develop guidance for data standards, metadata guidelines, and the data architecture principles. This position will also be responsible for the following: <ul> <li>Develop architectural strategies for data modeling, design, and implementation to meet enterprise requirements.</li> <li>Work closely with government customers and relevant stakeholders to validate customer requirements.</li> <li>Assist the ODNI CDAO in providing strategic direction and technical expertise, and contribute to the IT Data Governance Boards and working groups.</li> <li>Assist the ODNI CDAO in developing data implementation roadmaps and data standards for interoperability, quality, and entity and data attributes that will allow the ODNI CDAO to manage ODNI’s dataset inventory and help increase the data literacy across the whole of ODNI.</li> <li>Help develop and deliver long-term strategic goals for data architecture, in conjunction with data owners, mission managers, and stakeholders.</li> <li>Design and implement effective data solutions to ingest, curate, store, and retrieve agency mission, business, and IC data.</li> <li>Participate in data standards committees and drive/manage operational data standards to include investigating, implementing, improving, and converting legacy data standards.</li> <li>Provide leadership for complex projects throughout the development of project work plans, milestone tracking, and coordination of efforts.</li> <li>Create and implement data business rules, data lifecycle management, and data mapping documents, and assist customers in mapping of legacy data models to target data models.</li> <li>Contribute to and collaborate on executive-level briefings for ODNI CDAO and develop best practices, processes, and standards for data migration.</li> <li>Collaborate with Chief Data Architect, system architects, and security architects.</li> <li>Strong data architecture and analytical skills are essential to complete job requirements successfully.</li> </ul> Qualifications <ul> <li>Current TS/SCI with Poly is required.</li> <li>Bachelor’s degree in Computer Science, Computer Engineering, or relevant STEM field.</li> <li>10+ years of total professional experience in a technical setting; with at least 5 of those years as a Data Architect, or related role.</li> <li>Experience developing requirements for the integration of data services, and requirements for a centralized data catalog, and developing requirements for data management technology.</li> <li>Experience participating in data standards committees to drive/manage operational data standards to include investigating, implementing, improving, and converting legacy data standards.</li> <li>Experience creating data mapping documents and assisting customers in mapping of legacy data models to target data models.</li> <li>Applying new data technologies, data management processes, system analysis principles and techniques, process engineering concepts, and assessing data solutions for compliance and conformance with guidelines and policies.</li> <li>Understanding of the use and maintenance of data dictionaries, data models, and data maps in an enterprise business software environment.</li> <li>Experience with programming languages like Python, Java, SQL, and Cloud technologies.</li> <li>Ability to work in a dynamic and fast-paced mission environment which requires balancing competing priorities and schedules.</li> </ul> Desired Skills: <ul> <li>Have a depth of experience in data science, to include demonstrated experience with programming languages (e.g. Python, SQL), statistical programs (e.g. R and MS Excel), and data visualization tools (e.g. Tableau, Power BI, QlikView).</li> <li>Database administrator certification such as AWS, Microsoft, Oracle, or MongoDB.</li> <li>Demonstrated experience with data architecture tools similar to ER/Studio, Erwin, or Lucid Chart.</li> <li>Have experience working in Agile and DevOps environments.</li> </ul> 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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Description
SAIC, a leading provider of systems development & deployment, targeting & intelligence analysis, systems engineering & integration, and training capabilities and solutions 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.
SAIC is seeking a Chief Data Architect to define a Big Data implementation framework; translate mission needs into Big Data system, analytic, and visualization tools requirements; and work with multi-disciplinary teams to design, guide engineering solutions, and then explore, examine, and visualize data to extract knowledge and insights from large and complex collections of digital data. The role is responsible for managing digital data that comes from many different data providers, consisting of a variety of structured, semi-structured, and unstructured data types, with enormous volume, varying velocity (periodic static documents to real-time data feeds), and rapid growth. Duties will include the design, development, testing, deployment, and use of associated advanced analytic and data science tools including data visualization, link analysis, correlation, sophisticated analytics programs, machine learning, and statistical methods to prepare data for use in predictive and prescriptive modeling.
Qualifications
Required:
<ul>
<li>Active TS/SCI with polygraph clearance.</li>
<li>Bachelor’s degree in computer science, data analytics, software engineering, or related technical field.</li>
<li>A minimum of five (5) years of hands-on experience with Big Data applications, such as Hadoop, and associated applications (e.g., administration, CM, monitoring, performance tuning, etc.).</li>
</ul>
Desired:
<ul>
<li>Experience working in a government mission Data Exploitation environment (e.g., acquiring data, storing data, processing data, analyzing data, visualizing data, turning data into intelligence products, disseminating data, and knowledge management).</li>
<li>Experience supporting a cloud computing environment (e.g., private, hybrid, and/or public).</li>
<li>Experience leading and managing cross-functional technology teams.</li>
<li>Experience leading major programming/scripting languages like Java, Linux, C++, PHP, Ruby, Python, and/or R.</li>
<li>Experience working with ETL tools such as Informatica, Talend, and/or Pentaho.</li>
<li>Experience designing solutions for multiple large data warehouses with cluster and parallel architecture as well as high-scale or distributed platforms.</li>
<li>Experience in the research and development of applications/services in disciplines such as: Natural Language Processing, Machine Learning, Conceptual Modeling, Statistical Analysis, Predictive Modeling, and Hypothesis testing.</li>
</ul>
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Description

SAIC, a leading provider of systems development & deployment, targeting & intelligence analysis, systems engineering & integration, and training capabilities and solutions 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.

SAIC is seeking a Chief Data Architect to define a Big Data implementation framework; translate mission needs into Big Data system, analytic, and visualization tools requirements; and work with multi-disciplinary teams to design, guide engineering solutions, and then explore, examine, and visualize data to extract knowledge and insights from large and complex collections of digital data. The role is responsible for managing digital data that comes from many different data providers, consisting of a variety of structured, semi-structured, and unstructured data types, with enormous volume, varying velocity (periodic static documents to real-time data feeds), and rapid growth. Duties will include the design, development, testing, deployment, and use of associated advanced analytic and data science tools including data visualization, link analysis, correlation, sophisticated analytics programs, machine learning, and statistical methods to prepare data for use in predictive and prescriptive modeling.

Qualifications

Required:

Active TS/SCI with polygraph clearance.

Bachelor’s degree in computer science, data analytics, software engineering, or related technical field.

A minimum of five (5) years of hands-on experience with Big Data applications, such as Hadoop, and associated applications (e.g., administration, CM, monitoring, performance tuning, etc.).

Desired:

Experience working in a government mission Data Exploitation environment (e.g., acquiring data, storing data, processing data, analyzing data, visualizing data, turning data into intelligence products, disseminating data, and knowledge management).

Experience supporting a cloud computing environment (e.g., private, hybrid, and/or public).

Experience leading and managing cross-functional technology teams.

Experience leading major programming/scripting languages like Java, Linux, C++, PHP, Ruby, Python, and/or R.

Experience working with ETL tools such as Informatica, Talend, and/or Pentaho.

Experience designing solutions for multiple large data warehouses with cluster and parallel architecture as well as high-scale or distributed platforms.

Experience in the research and development of applications/services in disciplines such as: Natural Language Processing, Machine Learning, Conceptual Modeling, Statistical Analysis, Predictive Modeling, and Hypothesis testing.

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Description SAIC is seeking a Data Architect to support our customer. This position will work directly with a Chief Data & Artificial Intelligence Officer (CDAO) to develop guidance for data standards, metadata guidelines, and the data architecture principles, standards, metadata guidelines, and the data architecture principles, standards, guidelines and concepts. This position will also be responsible for the following: <ul><li>Develop architectural strategies for data modeling, design, and implementation to meet enterprise requirements.</li><li>Work closely with government customers and relevant stakeholders to validate customer requirements</li><li>Assist the ODNI CDAO in providing strategic direction and technical expertise, and contribute to the IT Data Governance Boards and working groups.</li><li>Assist the ODNI CDAO in developing data implementation roadmaps and data standards for interoperability, quality, and entity and data attributes that will allow the ODNI CDAO to manage ODNI's dataset inventory and help increase the data literacy across the whole of ODNI.</li><li>Helps develop and deliver long-term strategic goals for data architecture, in conjunction with data owners, mission managers and stakeholders.</li><li>Design and implement effective data solutions to ingest, curate, store and retrieve agency mission, business and IC data.</li><li>Participate in data standards committees and drive/manage operational data standards to include investigating, implementing, improving, and converting legacy data standards.</li><li>Provide leadership for complex projects throughout the development of project work plans, milestone tracking, and coordination of efforts.</li><li>Creates and implements data business rules and data lifecycle management and data mapping documents and assist customer in mapping of legacy data models to target data models.</li><li>Contributing to and collaborating on executive-level briefings for ODNI CDAO and develop best practices, processes and standards for data migration.</li><li>Collaborate with Chief Data Architect, system architects and security architects.</li><li>Strong data architecture and analytical skills are essential to complete job requirements successfully.</li></ul>Qualifications<ul><li>Current TS/SCI with Poly is required.</li><li>Bachelor's degree in Computer Science, Computer Engineering, or relevant STEM field. </li><li>10+ years of total professional experience in a technical setting; with at least 5 of those years as a Data Architect, or related role.</li><li>Experience developing requirements for the integration of data services, and requirements for a centralized data catalog, and developing requirements for data management technology.</li><li>Experience participating in data standards committees to drive/manage operational data standards to include investigating, implementing, improving, and converting legacy data standards.</li><li>Experience creating data mapping documents and assist customer in mapping of legacy data models to target data models.</li><li>Applying new data technologies, data management processes, system analysis principles and techniques, process engineering concepts, and assessing data solutions for compliance and conformance with guidelines and policies.</li><li>Understanding of the use and maintenance of data dictionaries, data models, and data maps in an enterprise business software environment.</li><li>Experience with Programming languages like Python, Java, SQL and Cloud technologies.</li><li>Ability to work in a dynamic and fast-paced mission environment which requires balancing competing priorities and schedules.</li></ul>Desired Skills: <ul><li>Have a depth of experience in data science, to include demonstrated experience with programming languages (e.g. Python, SQL), statistical programs (e.g. R and MS Excel), and data visualization tools (e.g. Tableau, Power BI, QlikView).</li><li>Database administrator certification such as AWS, Microsoft, Oracle, or MongoDB.</li><li>Demonstrated experience with data architecture tools to include or similar to ER/Studio, Erwin or Lucid Chart.</li><li>Have experience working in Agile and DevOps environments.</li></ul> 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.

Description

SAIC is seeking a experienced, results-oriented, mission-driven  Big Data Architect  with specialized focus on Data Engineering to perform data model design, data formatting, and ETL development optimized for efficient storage, access, and computation in support of national security objectives.

Responsibilities include, but are not limited to:
As part of an Agile team, increase innovation capacity and drive the velocity of development of data ingestion and data analysis.
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.
Passion for unlocking the secrets held by a dataset and solid understanding and experience with developing, automating, and enhancing all parts of the data pipeline to include ingestion, processing, storage, and exposing data for consumption.
Implements data tests for quality and also focuses on improving inefficient tooling and adopting new transformative technologies while maintain operational continuity.
#LI-CKT

Qualifications

Required :
Active TS/SCI with Polygraph Clearance
Bachelor's Degree in Computer Science, Information Systems, Engineering or years of experience in lieu of degree
14 years of overall related professional experience
3+ years' experience with hands on development experience using Java, JavaScript, Python to ETL data.
ETL experience, including formats such as XML, JSON and YML, and normalizing data and high-volume data ingestion.
3+ years' experience using and ingesting data into SQL and NoSQL database systems
Familiarity with the NEXIS platform
Experience with Apache NiFi
Experience programming in Apache Spark and PySpark
Desired :
Familiarity with building Containerized Services (e.g. via Docker)
Familiarity with Databricks platform
Experience developing and maintaining data processing flows.
Experience with Amazon Web Services (AWS)
Experience with CI/CD pipeline
Experience with Agile Methodologies and Kanban Framework
Experience with utilizing relational databases including the use of MySQL and/ or Oracle for designing database schemas
Experience with Linux, REST services, and HTTP

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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