lead data architect

The Home Depot

<div>Position Purpose: 
Online Data Architect teams at The Home Depot coordinate with key stakeholders to determine data collection needs and write technical specs to support the translation of business requirements into databases, data warehouses, and data streams.
They work closely with engineers to ensure the internal customer&rsquo;s data needs are captured. They analyze, plan, and define data architecture framework, including security, reference data, metadata, and master data. Data Architects create and implement data management processes and procedures to ensure accuracy and accessibility. 
 
Key Responsibilities:<ul><li>
20% - Business Collaboration - Leverage extensive business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Partner with Other Orgs to understand potential for new tools and ways to maintain technical agility for advanced analytics.</li><li>
25% - Project Management &amp; Team Support - Lead and manage large and complex projects and teams; Provide direction on prioritization of work and ensure quality of work; Collaborate with managers and team in the distribution of workload and resources; Serve as a technical subject matter expert (SME) on both predictive and prescriptive analytics; Drive effective Agile project delivery protocols to assure we gather and surface reliable, actionable enterprise level analytics ; Ensure the team comprehends and applies the established processes and standards and mentor team on development.</li><li>
30% - Solution Development - Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation; Develops solutions to transform data into useful, actionable information.</li><li>
25% - Technical Exploration &amp; Development - Guide and direct project teams in the requirements gathering, design, and development of complex applications/programs; Provide technical education on advanced analytics to analytics community; Drive analytics teams to get matured in predictive and prescriptive analytics.</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This Position typically reports to Senior Manager or Above.</li><li>
This role has 0 direct reports.</li></ul> 
 
Travel Requirements:<ul><li>
Typically requires overnight travel less than 5% to 20% of the time.</li></ul> 
Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions, there may be a need to move or lift light articles.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be 18 years of age or older.</li><li>
Must be legally permitted to work in the United States.</li><li>
Demonstrate 3 or more of the following:</li><li>
Knowledge on database architecture frameworks</li><li>
Procedures for increasing database accuracy and accessibility</li><li>
How to develop requirements for the business's data needs related to databases, data warehouses, and data streams</li><li>
Knowledge of the business to support stakeholder data needs</li></ul> 
Preferred Qualifications:<ul><li>
Masters in a quantitative field (Analytics, Computer Science, Math, Physics, Statistics, Management, etc.) or relevant work experience</li><li>
Experience writing specs and requirements and configure Adobe Analytics for site tagging</li><li>
Proficient with data tools such as GCP Big Query, Mini Tab, Workfront, or SQL</li><li>
Knowledge of how to support the infrastructure for clickstream data (social media impression data on the marketing side), so teams can pull for data products and insights</li><li>
Experience translating a request into the capturing needs, criteria involved, and variables involved</li></ul> 
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul> 
Preferred Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a master's degree program or equivalent degree in a field of study related to the job.</li></ul>
Minimum Years of Work Experience:<ul><li>
5</li></ul> 
Preferred Years of Work Experience:<ul><li>
6</li></ul> 
Minimum Leadership Experience:<ul><li>
No previous leadership experience</li></ul> 
Preferred Leadership Experience:<ul><li>
No previous leadership experience</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Action Oriented</li><li>
Collaborates</li><li>
Drives Engagement</li><li>
Communicates Effectively</li><li>
Customer Focus</li><li>
Develops Talent</li><li>
Drives Results</li><li>
Manages Conflict</li></ul></div>

Online Lead Data Architect

Peraton

<div><div><h5 class="jobSectionHeader">ABOUT PERATON</h5>
Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world&rsquo;s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees solve the most daunting challenges that our customers face. Visit peraton.com to learn how we&rsquo;re keeping people around the world safe and secure.</div><div><h5 class="jobSectionHeader">
ABOUT THE ROLE</h5><div><div>
Peraton Labs is seeking a Lead Data Architect - Aviation Analytics to support FAA BNATCS CTO in identifying, acquiring, modernizing, integrating, and operationalizing data required for advanced analytics, visualization, and agentic AI-enabled workflows. This role will serve as a senior data leader across FAA BNATCS and Peraton Labs data streams and will help ensure that the Digital Command Center (DCC) is built on a strong data foundation. The ideal candidate combines strategic data leadership with practical experience in multi-domain data environments, ETL, and data fusion.</div><div></div><div> 
Within this role you will define the data backbone behind advanced analytics and AI-enabled mission support. You will play a critical role in ensuring the right data is available, usable, and ready to support highly visible capabilities that inform decision-making and modernization at scale.</div><div></div><div> 
Key responsibilities may include:</div><ul><li>
Lead data strategy and execution supporting DCC and CTO-driven capabilities</li><li>
Identify, assess, and prioritize data sources needed to support analytics, visualization, and AI-enabled workflows</li><li>
Coordinate data acquisition efforts across internal teams, stakeholders, and program partners</li><li>
Define and improve approaches for data fusion, modernization of data capture, and data pipeline readiness</li><li>
Guide ETL and data preparation efforts needed to support dashboards, analytics models, and downstream AI/ML use cases</li><li>
Partner with systems, software, and analytics teams to align data architecture with mission needs</li><li>
Help identify data gaps, dependencies, quality issues, and integration challenges affecting program success.</li></ul></div></div><div><h5 class="jobSectionHeader">
QUALIFICATIONS</h5><div><div>
Required Qualifications</div><ul><li>
Minimum of 12+ years of relevant experience in data engineering, software engineering, aerospace, systems engineering, systems/enterprise architecture, or related fields</li><li>
Experience leading data-focused initiatives in complex technical or operational environments</li><li>
Demonstrated experience with data identification, data acquisition, ETL, and multi-source data integration</li><li>
Experience with advanced data analysis and data fusion</li><li>
Familiarity with modern data capture, transformation, and preparation approaches that support advanced analytics</li><li>
Ability to work across multiple teams and stakeholders to align data efforts with mission objectives</li><li>
US Citizenship with ability to obtain/maintain an FAA Public Trust suitability</li><li>
Must be local and able to commute to one of our following locations: Annapolis Junction, MD, Bowie, MD, or Herndon, VA.</li></ul><div></div><div> 
Desired Qualifications</div><ul><li>
Experience with synthetic data generation</li><li>
Familiarity with FAA systems or aviation operational data environments</li><li>
Experience supporting analytics platforms, dashboards, AI/ML pipelines, or decision-support systems</li><li>
Knowledge of metadata, lineage, governance-aware data practices, or data architecture strategy</li><li>
Experience with cloud data platforms, APIs, and modern data engineering ecosystems</li></ul></div></div><div><h5 class="jobSectionHeader">
DETAILS</h5><div>
Target Salary Range: $146,000 - $234,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual&rsquo;s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
</div><div>Benefits Statement: Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at https://www.careers.peraton.com/benefits.
</div><div>
Application Duration Statement: The application period for the job is estimated to be 30 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.
</div>
EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.</div></div><div></div>

LEAD DATA ARCHITECT - AVIATION ANALYTICS

Valleysoft | Center of Excellence

<div>
 Valleysoft | Center of Excellence is a regional IT services provider based in Egypt, serving clients globally since 2006. The company collaborates with global partners like Amazon Web Services (AWS) to offer comprehensive solutions that address diverse business and technical challenges. Valleysoft's commitment to excellence ensures that clients receive high-quality, innovative, and cost-effective services, leveraging the power of cloud technologies.
 
 
 Valleysoft is seeking a highly-skilled Lead Data Engineer specializing in AWS to join our team. In this role, you will lead the design and implementation of cutting-edge data solutions, unlocking the potential of big data and machine learning for our clients. You will drive data strategy, manage data architecture, and oversee a talented team of data engineers. If you are passionate about cloud-based data engineering and want to make an impact in a fast-paced environment, we want to hear from you!
 
 
 
 Requirements
 
 
 
 <ul>
 <li>
 Lead design and implementation of batch and real-time data pipelines on AWS
 </li>
 <li>
 Architect and implement ETL/ELT solutions using AWS Glue, Spark on EMR, and other AWS-native services
 </li>
 <li>
 Lead workflow orchestration using Apache Airflow (MWAA)
 </li>
 <li>
 Architect serverless data processing solutions with AWS Lambda
 </li>
 <li>
 Design enterprise-grade data warehousing solutions using Amazon Redshift
 </li>
 <li>
 Develop and enforce data storage strategies using Amazon S3 and DynamoDB
 </li>
 <li>
 Implement and govern data cataloging, governance, and access control using AWS DataZone
 </li>
 <li>
 Establish monitoring, logging, and observability using Amazon CloudWatch
 </li>
 <li>
 Drive performance optimization, scalability, and cost efficiency
 </li>
 <li>
 Troubleshoot complex data processing and infrastructure issues
 </li>
 <li>
 Collaborate with cross-functional teams including Analytics, BI, Data Science, and Business teams
 </li>
 <li>
 Provide technical leadership, conduct code reviews, and mentor junior engineers
 </li>
 <li>
 Ensure adherence to security, compliance, and data governance standards
 </li>
 <li>
 Participate in architecture discussions and contribute to long-term data strategy
 
 
 </li>
 </ul>
 
 Required Skills &amp; Experience
 
 
 
 <ul>
 <li>
 10-12 years of experience in Data Engineering or related roles
 </li>
 <li>
 5+ years of hands-on experience designing enterprise-grade AWS solutions
 </li>
 <li>
 Expertise with: AWS Glue, Amazon EMR (Spark), AWS Lambda, Apache Airflow (MWAA), Amazon EC2, Amazon CloudWatch, Amazon Redshift, Amazon DynamoDB, AWS DataZone, Amazon S3
 </li>
 <li>
 Strong programming skills in Python
 </li>
 <li>
 Advanced SQL skills with performance tuning expertise
 </li>
 <li>
 Strong understanding of data warehousing, data modeling (Star/Snowflake), ETL/ELT best practices
 </li>
 <li>
 Experience designing scalable, distributed data processing systems
 </li>
 <li>
 Proven experience in leading teams, mentoring engineers, and making architectural decisions
 </li>
 <li>
 Experience working in Agile/Scrum delivery environments
 
 
 </li>
 </ul>
 Nice to Have.
 
 
 <ul>
 <li>
 AWS Professional Certification (Solutions Architect / Data Analytics Specialty)
 </li>
 <li>
 Experience with real-time streaming (Kinesis, Kafka)
 </li>
 <li>
 Exposure to metadata management, data lineage, and governance tools
 </li>
 <li>
 Expertise in cost optimization strategies in AWS
 </li>
 <li>
 Experience working with large-scale enterprise data platforms
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Private Health Insurance
 </li>
 <li>
 Training &amp; Development
 </li>
 </ul>
</div>

Lead Data Engineer - AWS

Valleysoft

<div>Valleysoft | Center of Excellence is a regional IT services provider based in Egypt, serving clients globally since 2006. The company collaborates with global partners like Amazon Web Services (AWS) to offer comprehensive solutions that address diverse business and technical challenges. Valleysoft's commitment to excellence ensures that clients receive high-quality, innovative, and cost-effective services, leveraging the power of cloud technologies.
Valleysoft is seeking a highly-skilled Lead Data Engineer specializing in AWS to join our team. In this role, you will lead the design and implementation of cutting-edge data solutions, unlocking the potential of big data and machine learning for our clients. You will drive data strategy, manage data architecture, and oversee a talented team of data engineers. If you are passionate about cloud-based data engineering and want to make an impact in a fast-paced environment, we want to hear from you! 
Requirements 
<ul><li><ul><li>
Lead design and implementation of batch and real-time data pipelines on AWS</li><li>
Architect and implement ETL/ELT solutions using AWS Glue, Spark on EMR, and other AWS-native services</li><li>
Lead workflow orchestration using Apache Airflow (MWAA)</li><li>
Architect serverless data processing solutions with AWS Lambda</li><li>
Design enterprise-grade data warehousing solutions using Amazon Redshift</li><li>
Develop and enforce data storage strategies using Amazon S3 and DynamoDB</li><li>
Implement and govern data cataloging, governance, and access control using AWS DataZone</li><li>
Establish monitoring, logging, and observability using Amazon CloudWatch</li><li>
Drive performance optimization, scalability, and cost efficiency</li><li>
Troubleshoot complex data processing and infrastructure issues</li><li>
Collaborate with cross-functional teams including Analytics, BI, Data Science, and Business teams</li><li>
Provide technical leadership, conduct code reviews, and mentor junior engineers</li><li>
Ensure adherence to security, compliance, and data governance standards</li><li>
Participate in architecture discussions and contribute to long-term data strategy</li></ul></li></ul> 
Required Skills &amp; Experience<ul><li><ul><li>
10&ndash;12 years of experience in Data Engineering or related roles</li><li>
5+ years of hands-on experience designing enterprise-grade AWS solutions</li><li>
Expertise with: AWS Glue, Amazon EMR (Spark), AWS Lambda, Apache Airflow (MWAA), Amazon EC2, Amazon CloudWatch, Amazon Redshift, Amazon DynamoDB, AWS DataZone, Amazon S3</li><li>
Strong programming skills in Python</li><li>
Advanced SQL skills with performance tuning expertise</li><li>
Strong understanding of data warehousing, data modeling (Star/Snowflake), ETL/ELT best practices</li><li>
Experience designing scalable, distributed data processing systems</li><li>
Proven experience in leading teams, mentoring engineers, and making architectural decisions</li><li>
Experience working in Agile/Scrum delivery environments</li></ul></li></ul> 
Nice to Have.<ul><li>
AWS Professional Certification (Solutions Architect / Data Analytics Specialty).</li><li>
Experience with real-time streaming (Kinesis, Kafka).</li><li>
Exposure to metadata management, data lineage, and governance tools.</li><li>
Expertise in cost optimization strategies in AWS.</li><li>
Experience working with large-scale enterprise data platforms.</li></ul> 

Benefits 
<ul><li>
Private Health Insurance</li><li>
Training &amp; Development</li></ul></div>

geidea

<div>
 
 Established in 2008,
 
 Geidea
 
 epitomizes customer focused empowerment and commercial success through continuous innovation.
 
 
 
 Geidea
 
 makes best in class digital payment solutions available for all by attracting and leveraging the best creative &amp; entrepreneurial talent in the market
 
 
 Our solutions give any business the chance to get ahead and reach for more no matter their size or maturity.
 
 
 Our technology mirrors our people - Smart, Innovative &amp; Forward Thinking
 
 
 www.geidea.net
 
 
 
 
 
 To maintain a competitive advantage as we grow, we are currently looking for a new " Date Architect Senior Manager".
 
 
 
 
 
 
 Job purpose:
 
 
 
 A highly skilled Data Architect to design and lead the development of scalable, secure, and high-performance data platforms across the enterprise. This role is central to shaping the data ecosystem supporting our Fintech services&mdash;including real-time financial transactions, credit scoring models, regulatory reporting, and customer analytics.
 
 
 
 
 
 Data Architect will work across engineering, analytics, and product teams to build modern data infrastructure incorporating Big Data platforms, data lakes, ELT/ETL pipelines, and data warehouses. Your solutions must ensure high availability, governance, security, and performance&mdash;compliant with SAMA and other regulatory frameworks.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 
 Data Architecture Design:
 
 </li>
 <li>
 Lead the end-to-end architecture of enterprise data platforms including Data Lakes, Lakehouse, and Data Warehouses.
 </li>
 <li>
 Design and maintain canonical data models (conceptual, logical, and physical) for structured, semi-structured (JSON, XML), and unstructured data.
 </li>
 <li>
 Develop architectural blueprints for hybrid and cloud-native solutions leveraging AWS, Azure, or GCP.
 </li>
 <li>
 Standardize data ingestion, transformation, and serving layers for streaming and batch use cases.
 </li>
 <li>
 
 Big Data &amp; Distributed Systems Engineering:
 
 </li>
 <li>
 Architect Big Data processing solutions using Apache Spark, Flink, Presto, Trino, or Databricks for large-scale processing of financial and behavioral data.
 </li>
 <li>
 Implement distributed file systems (e.g., HDFS, S3, ADLS) and optimize file formats like Parquet, ORC, and Avro.
 </li>
 <li>
 Ensure scalable compute using EMR, Dataproc, or AKS/Kubernetes-based platforms.
 </li>
 <li>
 
 Data Lakes and Lakehouse Architecture:
 
 </li>
 <li>
 Design and operationalize data lakes as central repositories for raw and curated data assets.
 </li>
 <li>
 Build Delta Lake, Apache Hudi, or Iceberg-based architectures to support ACID transactions, schema evolution, and time travel.
 </li>
 <li>
 Define governance standards across raw, staged, curated, and analytics layers of the lake architecture.
 </li>
 <li>
 
 ELT/ETL Frameworks &amp; Pipelines:
 
 </li>
 <li>
 Develop robust ELT/ETL pipelines using tools like Apache Airflow, DBT, AWS Glue, Azure Data Factory, or Kafka Connect.
 </li>
 <li>
 Optimize data transformations for performance, reusability, and modular design (e.g., using SQL/Scala/Python).
 </li>
 <li>
 Ensure orchestration of dependencies, retries, alerting, and logging in a fully observable pipeline ecosystem.
 </li>
 <li>
 
 Data Warehousing &amp; BI Integration:
 
 </li>
 <li>
 Architect cloud-based data warehouses such as Snowflake, BigQuery, Redshift, or Synapse Analytics.
 </li>
 <li>
 Define dimensional models (Star, Snowflake), facts/dimensions, and materialized views optimized for analytics and dashboarding tools (e.g., Power BI, Tableau, Looker).
 </li>
 <li>
 Enable self-service analytics by integrating semantic layers, metadata management, and data cataloging tools.
 </li>
 <li>
 
 Security, Governance &amp; Compliance:
 
 </li>
 <li>
 Implement data encryption (at-rest/in-transit), tokenization, and row/column-level security mechanisms.
 </li>
 <li>
 Define and enforce data governance policies, including data lineage, classification, and auditing aligned with SAMA, NCA, GDPR, and internal policies.
 </li>
 <li>
 Integrate with data catalogs (e.g., Alation, DataHub, Apache Atlas) and governance tools.
 </li>
 <li>
 
 DevOps &amp; Observability:
 
 </li>
 <li>
 Support CI/CD for data pipelines and infrastructure as code using Terraform, CloudFormation, or Pulumi.
 </li>
 </ul>
 
 Implement observability practices via data quality checks, SLAs/SLIs, and monitoring tools like Prometheus, Grafana, or Datadog.
 
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or master&rsquo;s degree in computer science, Data Engineering, or a related technical field.
 </li>
 <li>
 
 8+ years of experience
 
 in data architecture, with significant contributions to production-grade data systems.
 </li>
 <li>
 Proven track record in designing and deploying
 
 petabyte-scale data infrastructure
 
 in
 
 Fintech
 
 ,
 
 Banking
 
 , or
 
 RegTech
 
 environments.
 </li>
 </ul>
 
 
 
 
 
 Our values guide how we think and act - They describe what we care about the most
 
 
 
 
 C
 
 ustomer first - It&rsquo;s embedded in our design thinking and customer service approach
 
 
 
 O
 
 pen - Openness allows us to constantly improve and evolve
 
 
 
 R
 
 eal - No jargon and no excuses!
 
 
 
 B
 
 old - Constantly challenging ourselves and our way of thinking.
 
 
 
 R
 
 esilient &ndash; If we fail, we bounce back stronger than before.
 
 
 
 C
 
 ollaborative - We know that we can achieve a lot more as a team.
 
 
 We are changing lives by constantly striving for a better solution.
 
 
 
</div>

Data Architect Senior Manager

<div>Valleysoft | Center of Excellence is a regional IT services provider based in Egypt, serving clients globally since 2006. The company collaborates with global partners like Oracle to address diverse business and technical challenges, from enterprise application development to process management. Valleysoft's vendor-neutral and process-oriented approach, coupled with operational maturity, ensures high-quality and cost-effective services for clients.
Job Summary
We are seeking a highly experienced Lead MLOps Architect with deep AWS expertise to lead the design, architecture, and governance of enterprise-grade ML platforms. This role requires strong leadership capabilities, hands-on expertise in scalable ML systems, and experience managing large production environments.
Key Responsibilities<ul><li>
Architect and lead enterprise-scale MLOps platforms on AWS.</li><li>
Define best practices for ML lifecycle management, deployment standards, and governance.</li><li>
Lead production deployment of ML models using AWS-native services.</li><li>
Design automated CI/CD pipelines for ML workflows and infrastructure.</li><li>
Implement advanced monitoring, drift detection, retraining automation, and observability.</li><li>
Ensure high availability, scalability, security, and cost optimization.</li><li>
Establish model versioning, reproducibility, and experiment tracking standards.</li><li>
Lead troubleshooting of complex production issues.</li><li>
Mentor and lead a team of MLOps and platform engineers.</li><li>
Collaborate with stakeholders to align ML platform strategy with business objectives.</li></ul> 

Requirements 

Required Skills &amp; QualificationsMLOps &amp; Machine Learning<ul><li>
10&ndash;12 years of overall experience with strong focus on ML production systems</li><li>
Proven experience leading ML platform architecture and large-scale deployments</li><li>
Deep understanding of ML lifecycle management, governance, and reproducibility</li><li>
Hands-on experience with TensorFlow, PyTorch, Scikit-learn</li><li>
Strong experience with MLflow or enterprise model management tools</li></ul>
AWS Cloud (Mandatory)<ul><li>
Advanced hands-on expertise in:</li><li><ul><li>
Amazon SageMaker (training, pipelines, endpoints)</li><li>
S3, EC2, Lambda</li><li>
ECR, ECS, EKS</li><li>
IAM, CloudWatch</li></ul></li><li>
Experience designing secure, compliant, and scalable ML architectures</li><li>
Experience implementing cost optimization strategies on AWS</li></ul>
DevOps, Containers &amp; IaC<ul><li>
Strong expertise in Docker and Kubernetes (EKS)</li><li>
Advanced CI/CD implementation</li><li>
Infrastructure as Code using Terraform and/or CloudFormation</li><li>
Experience implementing GitOps practices</li></ul>
Programming &amp; Data<ul><li>
Expert-level Python skills</li><li>
Experience designing robust data pipelines</li><li>
Strong understanding of SQL/NoSQL systems</li><li>
Exposure to streaming or real-time ML systems</li></ul>
Preferred Qualifications<ul><li>
AWS Professional-level certifications</li><li>
Experience with ML security, explainability, and regulatory compliance</li><li>
Experience building enterprise feature stores</li><li>
Exposure to real-time inference systems</li></ul></div>

Lead MLOps Architect - AWS

Leidos

<div>Description
Leidos Digital Modernization sector is seeking an experienced Pega Systems Architect to lead delivery of Pega platform development and optimization supporting a the Office of Justice Programs (OJP) Enterprise Application Design and Development Services (EADDS) program. large grants management organization. The Pega Systems Architect leads the team in application of cutting edge Pega system capabilities including Blueprint Human in the loop AI coding. The technical leader will provide engineering and architect level ownership of a multi-system solution based on the Pega platform, including supporting Just Grants, a large grants management platform.
Primary responsibilities:
<ul><li>Apply experience with Pega Dynamic Case, Management, Pega Deployment Manager, Pega Surveys, and Pega Business Intelligence Exchange Tool to mature the overall Pega platform in use.</li><li>
Drive continuous modernization in development of Pega platform capabilities on program through baseline platform delivery throughout program execution to maintain industry leadership for OJP.</li><li>
Create templates and tools to guide and lead program management teams in assessment of legacy system capabilities against current Pega platform baselines.</li><li>
Provide expertise to agile development teams in Pega best practices.</li><li>
Provide architect level guidance to technical engineering teams for Pega Platform development and utilization.</li><li>
Provide &ldquo;best of Pega&rdquo; expertise to staff, teams and customer groups. Create calendar of Pega lifecycle events and scheduled baselines.</li><li>
Provide annual plans to align system capabilities with customer requirements.</li><li>
Provide leadership in use of Blueprint and Pega AI automation (support / coding).</li><li>
Lead development teams in applying modular Pega coding / muti-system platform development.</li><li>
Lead engineering teams in Big Data integration of Pega with other systems through API gateways / multi system integration outside of the Pega Cloud.</li><li>
Support &ldquo;industry leading&rdquo; best use of Pega as a NC/LC platform.</li><li>
Provide guidance to product development teams as to Pega areas of strength, and identify areas where other products can be applied more efficiently.</li><li>
Lead Pega platform optimization (refinement) and Pega security management.</li></ul>
Basic Qualifications:<ul><li>
Bachelor's Degree in software engineering, computer science, information systems</li><li>
Minimum of 15 years of technical leadership experience</li><li>
Direct experience in leading large scale Pega developments</li><li>
Certifications include Pegasystems Certified System Architect. Certified Scrum Master (or ability to become Scrum Certified). PMP highly desired</li><li>
Experience in Low Code / No Code development</li><li>
Alignment of Pega capabilities with other platforms to enable OJP in utilizing optimal and most efficient platform usage</li><li>
Knowledge of utilizing Pega in a multi-platform environment through hybrid systems</li><li>
Knowledge of cutting edge Pega development using Blueprint AI coding</li><li>
Experience with Pega Dynamic Case Management, Pega Deployment Manager, Pega Surveys, and Pega Business Intelligence Exchange Tool.</li><li>
Ability to obtain a Public Trust Clearance</li></ul>
If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo &mdash; because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 &mdash; and moving faster than anyone else dares.<h2 class="jobSectionHeader">
Original Posting:</h2>
February 27, 2026 
For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.<h2 class="jobSectionHeader"> 
Pay Range:</h2>
Pay Range $107,900.00 - $195,050.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
About Leidos
Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com.
Pay and Benefits
Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits.
Securing Your Data
Beware of fake employment opportunities using Leidos&rsquo; name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system &ndash; never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com.
If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission.
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.</div>

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