Senior Data Architect - Top Secret

Posted One Month Ago
Be an Early Applicant
Mansfield Location, MI, USA
In-Office
112K-196K Annually
Senior level
Information Technology • Security • Cybersecurity
The Role
Lead enterprise and mission data architecture, modernization, integration, governance, and lifecycle strategy for cyber mission data. Design data models, pipelines, APIs, schemas, metadata frameworks, and quality controls while ensuring scalability, security, interoperability, and compliance. Provide technical leadership, architecture roadmaps, customer advising, mentoring, and cross-functional coordination across engineering, cybersecurity, infrastructure, and government teams. Support analytics, machine learning, and AI initiatives in classified environments.
Summary Generated by Built In
In a world of possibilities, pursue one with endless opportunities. Imagine Next!

 

At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what’s possible.

 

Job Description:

As a Senior Data Architect supporting DCDC, you will lead the analysis, design, integration, governance, and modernization of enterprise and mission data architectures. You will establish data models, schemas, pipelines, standards, interfaces, and governance practices that enable cyber data to be collected, protected, integrated, analyzed, and shared across mission systems. 

You will provide technical leadership throughout the data lifecycle and ensure architectures address scalability, performance, availability, recoverability, interoperability, security, data quality, and operational sustainability. You will also serve as a senior advisor to customers and program leadership on data architecture, governance, modernization, and analytics enablement. 

What You'll Be Doing:

  • Lead the design and modernization of data architectures, models, schemas, pipelines, interfaces, metadata frameworks, and data-governance practices supporting cyber mission data. 

  • Architect data integration and acquisition solutions using databases, APIs, ETL/ELT, data lakes, streaming technologies, and event-driven architectures. 

  • Establish standards for data quality, lineage, metadata, classification, retention, ownership, interoperability, access, and secure information sharing. 

  • Evaluate data platforms and proposed capabilities for performance, scalability, availability, recoverability, interoperability, security, cost, and mission suitability. 

  • Lead the onboarding and integration of new data sources, including source assessment, schema mapping, interface design, ingestion planning, validation, and operational support. 

  • Design and implement data-quality, monitoring, reconciliation, and validation practices that improve data accuracy, completeness, timeliness, and trustworthiness. 

  • Apply security and compliance requirements throughout the data lifecycle, including least privilege, encryption, segmentation, auditability, secure data handling, RMF, NIST SP 800-53, and Authority to Operate requirements. 

  • Develop data architecture roadmaps, reference architectures, modernization strategies, technical standards, implementation plans, and alternatives analyses. 

  • Support analytics, machine learning, and artificial intelligence initiatives through reliable data structures, pipelines, metadata, quality controls, and governance. 

  • Lead architecture reviews, design reviews, technical interchange meetings, customer briefings, and operational-readiness activities. 

  • Provide technical direction and mentorship to data architects, data engineers, analysts, and other technical personnel. 

  • Coordinate across data engineering, software development, cybersecurity, infrastructure, operations, compliance, and government teams to resolve risks, dependencies, and integration challenges. 

  • Communicate architecture decisions, technical tradeoffs, risks, and recommendations to senior technical, programmatic, and government stakeholders. 

What Required Skills You'll Bring:

  • B.S. in Computer Science, Data Engineering, Data Science, Information Technology, Systems Engineering, or a related field, or equivalent professional experience. 

  • 7+ years of progressive experience in data architecture, data engineering, enterprise architecture, database design, systems engineering, or a related discipline. 

  • Demonstrated experience leading complex data architecture, integration, modernization, governance, or distributed-data initiatives. 

  • Strong experience with data modeling, schemas, SQL, metadata, data lineage, data dictionaries, data quality, and data-governance practices. 

  • Experience designing data pipelines and integration solutions using ETL/ELT, APIs, databases, data lakes, streaming technologies, or event-driven architectures. 

  • Experience with cyber-relevant data, such as network telemetry, sensor data, logs, threat intelligence, vulnerability data, security events, or audit records. 

  • Experience using Python or a comparable language for data transformation, validation, analysis, automation, or pipeline development. 

  • Experience evaluating data architectures for scalability, performance, availability, recoverability, interoperability, security, cost, and mission requirements. 

  • Experience developing architecture products, technical standards, reference architectures, roadmaps, implementation plans, and integration documentation. 

  • Experience applying security and compliance requirements to data architectures, including access controls, encryption, auditability, least privilege, RMF, NIST SP 800-53, FISMA, FedRAMP, or Authority to Operate processes. 

  • Demonstrated technical leadership, customer engagement, mentoring, and cross-functional coordination experience. 

  • Strong analytical, problem-solving, communication, documentation, and presentation skills. 

  • Ability to work independently, exercise sound technical judgment, and communicate complex concepts to technical and nontechnical stakeholders. 

  • Knowledge of the Department of War Data, Analytics, and AI Adoption Strategy and VAULTIS principles: Visible, Accessible, Understandable, Linked, Trustworthy, Interoperable, and Secure. 

  • Active Top Secret clearance is required. 

  • U.S. citizenship may be required based on contract and system-access requirements. 

What Desired Skills You'll Bring:

  • Master’s degree in Computer Science, Data Engineering, Data Science, Information Technology, Cybersecurity, or a related field. 

  • Experience with AWS GovCloud, Azure Government, DoD Impact Level 4, 5, or 6, or other regulated cloud environments. 

  • Experience supporting classified, restricted, disconnected, air-gapped, or limited-connectivity environments. 

  • Experience with Splunk, Elastic/ELK, SIEM platforms, data lakes, enterprise data warehouses, analytics platforms, or comparable cyber data technologies. 

  • Experience supporting streaming technologies, event-driven architectures, real-time processing, analytics, machine learning, artificial intelligence, or AI/ML data pipelines. 

  • Experience with data cataloging and metadata-management platforms such as DataHub, Collibra, Alation, Apache Atlas, or comparable tools. 

  • Experience with Zero Trust, identity-centric security, data masking, tokenization, encryption, secure data sharing, or least-privilege architectures. 

  • Familiarity with DoD Cyber Workforce Framework Data Architect requirements and DoD Manual 8140.03. 

  • Experience developing enterprise data governance frameworks, interoperability standards, modernization plans, or technical roadmaps. 

  • Experience serving as a data architecture lead, enterprise architect, data platform lead, governance lead, or technical authority for a complex environment. 

  • Relevant certifications in data architecture, cloud architecture, database technologies, cybersecurity, enterprise architecture, or data governance. 

Security Clearance Requirement:

An active Top Secret security clearance is required for this position.​

This position is part of our Federal Solutions team.

The Federal Solutions segment delivers resources to our US government customers that ensure the success of missions around the globe. Our intelligent employees drive the state of the art as they provide services and solutions in the areas of defense, security, intelligence, infrastructure, and environmental. We promote a culture of excellence and close-knit teams that take pride in delivering, protecting, and sustaining our nation's most critical assets, from Earth to cyberspace. Throughout the company, our people are anticipating what’s next to deliver the solutions our customers need now.

Salary Range: $112,200.00 - $196,400.00

We value our employees and want our employees to take care of their overall wellbeing, which is why we offer best-in-class benefits such as medical, dental, vision, paid time off, 401(k), life insurance, flexible work schedules, and holidays to fit your busy lifestyle!

Parsons is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status or any other protected status.

We truly invest and care about our employee’s wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest—APPLY TODAY!

Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer to https://www.parsons.com/fraudulent-recruitment/.

Skills Required

  • Bachelor’s degree in Computer Science, Data Engineering, Data Science, Information Technology, Systems Engineering, or a related field, or equivalent professional experience
  • 7+ years of progressive experience in data architecture, data engineering, enterprise architecture, database design, systems engineering, or a related discipline
  • Experience leading complex data architecture, integration, modernization, governance, or distributed-data initiatives
  • Strong experience with data modeling, schemas, SQL, metadata, data lineage, data dictionaries, data quality, and data governance
  • Experience designing data pipelines and integration solutions using ETL/ELT, APIs, databases, data lakes, streaming, or event-driven architectures
  • Experience with cyber-relevant data, including network telemetry, sensor data, logs, threat intelligence, vulnerability data, security events, or audit records
  • Experience using Python or a comparable language for data transformation, validation, analysis, automation, or pipeline development
  • Experience evaluating architectures for scalability, performance, availability, recoverability, interoperability, security, cost, and mission requirements
  • Experience developing architecture products, technical standards, reference architectures, roadmaps, implementation plans, and integration documentation
  • Experience applying access controls, encryption, auditability, least privilege, RMF, NIST SP 800-53, FISMA, FedRAMP, or Authority to Operate requirements
  • Technical leadership, customer engagement, mentoring, and cross-functional coordination experience
  • Strong analytical, problem-solving, communication, documentation, and presentation skills
  • Ability to work independently, exercise technical judgment, and communicate complex concepts to technical and nontechnical stakeholders
  • Knowledge of the Department of War Data, Analytics, and AI Adoption Strategy and VAULTIS principles
  • Active Top Secret security clearance
  • U.S. citizenship may be required based on contract and system-access requirements
  • Master’s degree in Computer Science, Data Engineering, Data Science, Information Technology, Cybersecurity, or a related field
  • Experience with AWS GovCloud, Azure Government, DoD Impact Levels 4, 5, or 6, or other regulated cloud environments
  • Experience supporting classified, restricted, disconnected, air-gapped, or limited-connectivity environments
  • Experience with Splunk, Elastic/ELK, SIEM platforms, data lakes, enterprise data warehouses, analytics platforms, or comparable cyber data technologies
  • Experience with streaming, event-driven architectures, real-time processing, analytics, machine learning, artificial intelligence, or AI/ML data pipelines
  • Experience with DataHub, Collibra, Alation, Apache Atlas, or comparable data cataloging and metadata-management platforms
  • Experience with Zero Trust, identity-centric security, data masking, tokenization, encryption, secure data sharing, or least-privilege architectures
  • Familiarity with DoD Cyber Workforce Framework Data Architect requirements and DoD Manual 8140.03
  • Experience developing enterprise data governance frameworks, interoperability standards, modernization plans, or technical roadmaps
  • Experience serving as a data architecture lead, enterprise architect, data platform lead, governance lead, or technical authority
  • Relevant certifications in data architecture, cloud architecture, database technologies, cybersecurity, enterprise architecture, or data governance

Parsons Corporation Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Parsons Corporation and has not been reviewed or approved by Parsons Corporation.

  • Retirement Support — Retirement programs are framed as a major value driver, with an ESOP alongside a 401(k) match and additional stock-purchase options contributing meaningfully to total rewards. This structure is positioned as especially attractive for employees who value long-term wealth-building over immediate cash.
  • Healthcare Strength — Health coverage is described as broad and choice-rich, with multiple plan types (PPO, HDHP, and some HMO networks) plus dental, vision, EAP, and wellness resources. The availability of different plan designs and national-carrier coverage supports varied employee needs.
  • Leave & Time Off Breadth — Time-off offerings are portrayed as competitive, including PTO, holidays, flexible schedules such as a 9/80 option for eligible roles, and floating holidays in the U.S. Paid parental leave of 160 hours is also highlighted as a meaningful component of the overall package.

Parsons Corporation Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Centreville, VA
14,420 Employees
Year Founded: 1944

What We Do

Parsons is a digitally enabled solutions provider with a focus on making the world safer, smarter, healthier, more sustainable, and more connected. Founded in 1944, Parsons primarily serves the defense, security, and infrastructure markets. Uniquely qualified to deliver cyber/converged security, technology-based intellectual property, and other innovative services, the corporation delivers state-of-the-art solutions to federal, regional, and local government agencies as well as to private industrial customers worldwide. Parsons has a reputation for inclusion and diversity and has been named to the Ethisphere Institute’s list of World’s Most Ethical Companies for 10 consecutive years. Parsons facilitates a culture of innovation by encouraging collaboration among its employees and providing opportunities for career growth. With offices around the globe, people of varied talents and backgrounds, and a wide range of exciting projects, the possibilities at Parsons are endless. For more about Parsons, visit www.parsons.com. Mission: Delivering innovative infrastructure, defense, and security solutions to enable a more sustainable, safer, smarter, and more connected world.

Similar Jobs

Liberty Mutual Insurance Logo Liberty Mutual Insurance

Inside Sales Representative

Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Remote or Hybrid
14 Locations
40000 Employees
45K-85K Annually

Atlassian Logo Atlassian

Solutions Engineer

Cloud • Information Technology • Productivity • Security • Software • App development • Automation
In-Office or Remote
16 Locations
11000 Employees
140K-220K Annually

PwC Logo PwC

E&C Internal Investigations - Senior Manager

Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Hybrid
68 Locations
370000 Employees
91K-322K Annually

PwC Logo PwC

Finance Solutions - Digital Revenue Operations - Senior Associate

Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Hybrid
63 Locations
370000 Employees
77K-202K Annually

Similar Companies Hiring

Milestone Systems Thumbnail
Artificial Intelligence • Security • Software • Analytics • Big Data Analytics
Lake Oswego, OR
1500 Employees
NODA AI Thumbnail
Artificial Intelligence • Information Technology • Software • Cybersecurity
Austin, TX
54 Employees
Golden Pet Brands Thumbnail
Digital Media • eCommerce • Information Technology • Marketing Tech • Pet • Retail • Social Media
El Segundo, California
567 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account