Description
Data Architect Job Category:Information Technology Time Type: Full time Minimum Clearance Required to Start: TS/SCI with
Polygraph Employee Type: Regular Percentage of
Travel Required: None Type of Travel: None
CACI is seeking a Data Architect to augment the CACI Program Management Office (PMO) that is entrusted by the U.S
Government to provide operations and maintenance, and development of custom financial applications
We value self-initiated team members who strive to produce high quality work through collaboration with team members and customers while making a difference through individual contributions to ensure project success for our team and our customers
We are leading the charge for digital transformation in the intelligence community, so we are seeking team members who are optimistic about leveraging emergent technologies that are strategically aligned to best practices
As part of CACI's Intel Application Services, you will support the men and women charged with safeguarding the American people and enhancing the Nation's safety, security, and prosperity
Duties include but are not limited to:Lead integration of data applications to enable data governance, quality, cataloging, tagging, security and developing dashboards.
Understand and translate business needs into data models supporting long-term solutions.
Work with the Application Development team to implement data strategies, build data flows and develop conceptual data models.
Create logical and physical data models using best practices to ensure high data quality and reduced redundancy.
Maintain conceptual, logical, and physical data models along with corresponding metadata.
Develop best practices for standard naming conventions and coding practices to ensure consistency of data models.
Support the contract program management office to deliver briefings and presentations to the government.
Interface with external application vendors
Required Qualifications:TS/SCI CI Poly.
BA/BS Degree in a Technical field (i.e., Information Technology, Information Systems, Computer Science).
10+ years of work experience in design and implementation of data models for complex data environments.
8+ years' experience architecting data management solutions with AWS to include big data solutions.
8+ years' experience performing "as-is" analysis to identify opportunities for cost efficiencies, consolidation and reducing complexities.
6+ years' experience in working with predictive analytics, data visualization, or unstructured data.
6+ years' experience supporting integration of data management capabilities that provide data governance policies, quality, and security.
6+ years' experience devising ETL strategies and leveraging technologies.
Bachelor's degree with
Minimum 4 years of strong experience to design scalable data models and data flows.
Experience with big data analytics, data engineering, data pipelines and experience with LLMs and python scripting and tooling such as databricks
Medium to strong statistical understanding, ability to understand and infer model reports, feature importance, validation reports and advise domain/business SMEs and help to make right decisions on the modelling
Strong scripting knowledge in R & SQL
Proficiency with leading data profiling tools (such as SQL, BI tools, etc.)
Experience with Enterprise Data Warehouse initiatives including Data Model development, Semantic/Data Access Layer Development, Reporting and Dashboard Creation
Experience working within an agile sprint development team environment using Jira and Confluence.
Ability to creatively collaborate with other program personnel to ensure a unified and well-executed goal.
Composure and ability to lead with confidence and calmness when faced with competing high-priority projects and difficult decisions and when delivering presentations.
Excellent written and verbal communications skills using MS Word, Excel, PowerPoint and other tools
These Qualifications would be nice to have:AWS Cloud Certifications.
Experience using COTS products to manage data.
Experience supporting financial system data.
Experienced in data science / machine learning lifecycle processes, methods, tools.
Hands on programming experience in R for Data analysis, Statistical inferencing and data science modelling in R.
Knowledge of other tools for ML, MLOps, Data Prep and languages (Python) will be a plus
10+ years of experience in data analysis, data science development and 3+ years in R eco system What we can offer you: At CACI, our philosophy of employee development and advancement rests on a cultural foundation of providing unlimited and equal opportunity for growth, recognition, and rewards
We provide the environment, support and responsive, available management to nurture and stretch your abilities
We also offer a career mobility program to make it easy to build a dynamic career at CACI and offer flexible work schedule arrangements to support work/life balance.
CACI's Flexible Time Off (FTO) plan allows employees to take vacation as needed, without a set number of minimum or maximum days, and is available day one of employment.
CACI has been named one of Fortune magazine's World's Most Admired Companies for 2024
CACI also has more than 20 Communities of Practice to share and gain skills and knowledge regarding various technologies and topics including SAP, Salesforce, Agile Development, and many more
The associated Learning Academies provide training and certifications to gain additional skills and build your brand.
We offer competitive benefits and learning and development opportunities.
We are mission-oriented and ever vigilant in aligning our solutions with the nation's highest priorities.
With over 25,000 employees worldwide, CACI has been named a Best Place to Work by the Washington Post.
For over 60 years, the principles of CACI's unique, character-based culture have been the driving force behind our success
Company Overview: CACI 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, status as a protected veteran, or any other protected characteristic
Pay Range: There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications
Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives
We offer competitive compensation, benefits and learning and development opportunities
Our broad and competitive mix of benefits options is designed to support and protect employees and their families
At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits
Learn more here The proposed salary range for this position is: $119,800 - $263,600
