Data Architect Jobs in Maryland
Data Architect jobs in Maryland are concentrated in the Baltimore metro, the Washington D.C. suburbs of Montgomery and Prince George's counties, and the Annapolis tech corridor, where federal agencies, defense contractors, and financial institutions drive consistent demand for cloud data platform design, enterprise data modeling, and analytics engineering. Large, established employers with ongoing data architect hiring include Leidos, Northrop Grumman, and Johns Hopkins Health System. Openings run from mid-career roles requiring five or more years of hands-on experience to principal and chief data architect positions at the senior end. See the openings below and apply to the ones that match your experience.
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Showing 5 of 24+ Data Architect jobs
About Peraton
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’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’re keeping people around the world safe and secure.
Program Overview
About The Role
We are seeking a Part Time Senior Data Warehouse Architect and Data Platform Subject Matter Expert (SME) to lead the design, implementation, administration, and optimization of enterprise data warehouse and analytics platforms. The successful candidate will possess extensive experience in data architecture, database administration, ETL development, data modeling, analytics, and large-scale MPP database environments. This qualified individual will work 30 hours a week LOE.
Responsibilities & Qualifications
- Design, develop, and support enterprise Data Warehouse solutions supporting both OLTP and analytical workloads.
- Architect logical and physical data models utilizing Kimball Dimensional, Inmon Normalized, and relational modeling methodologies.
- Define and implement enterprise data architecture standards, governance practices, and best practices.
- Administer, support, and optimize Greenplum, Teradata, PostgreSQL, SQL Server, Oracle, IBM DB2, and related database platforms.
- Serve as Subject Matter Expert (SME) for Greenplum MPP Database and Data Computing Appliance (DCA) environments.
- Lead database performance tuning, capacity planning, backup/recovery, disaster recovery, and high-availability initiatives.
- Design, develop, and optimize ETL and data integration solutions using Informatica PowerCenter, DataStage, Ab Initio, PowerMart, Microsoft DTS, ETI, Data Junction, or similar enterprise tools.
- Develop automation and operational solutions using Python and Bash scripting.
- Support enterprise reporting, analytics, and business intelligence initiatives utilizing Business Objects, MicroStrategy, Crystal Reports, Microsoft Reporting Services, Brio, QMF, and similar platforms.
- Collaborate with business stakeholders to gather requirements, facilitate JAD sessions, and translate business needs into scalable technical solutions.
- Lead data platform modernization, migration, and optimization projects.
- Provide technical leadership, mentoring, and guidance to architects, developers, database administrators, and project teams.
- Troubleshoot complex database, ETL, reporting, and infrastructure issues across enterprise environments.
- Work effectively within Linux (RHEL), Unix, Windows Server, and IBM Mainframe environments including z/OS, OS/390, MVS, and VM.
- Support SAS Analytics and advanced analytical platforms to enable enterprise reporting and decision-making capabilities.
- Maintain documentation, architecture standards, operational procedures, and technical best practices.
Qualifications
Required Experience
- Bachelor’s degree and 8 years of experience or 12 years with a High school diploma/equivalent
- 8+ years of experience in Data Warehousing, Data Architecture, Database Administration, Data Engineering, or related disciplines.
- Extensive experience with large-scale data warehouse implementations and enterprise analytics platforms.
- Strong expertise in SQL development, query optimization, and database performance tuning.
- Hands-on experience with Greenplum, Teradata, PostgreSQL, SQL Server, Oracle, and/or IBM DB2 databases.
- Strong data modeling expertise including dimensional, normalized, logical, and physical modeling techniques.
- Experience with enterprise ETL and data integration tools.
- Advanced Python and Bash scripting skills.
- Experience leading technical projects and working directly with business and executive stakeholders.
- Excellent analytical, communication, problem-solving, and documentation skills.
- Must be a US Citizen.
- Ability to obtain or maintain the required agency clearance.
Preferred Experience
- Active Public Trust Clearance.
- Experience supporting Greenplum Data Computing Appliance (DCA) environments.
- Consulting or professional services experience.
- Project management or technical leadership experience on large-scale enterprise initiatives.
- Experience with cloud-based data warehouse and analytics platforms.
- Experience supporting federal government or highly regulated environments
Details
Target Salary Range: $86,000 - $138,000. 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’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.
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.
Application Statements: 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. By applying to this job, you are expressing interest in the role and the Company. During the review of your application, you may be required to participate in an on-camera interview, as well as participate in a process to verify your identity.
EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.
About Peraton
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’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’re keeping people around the world safe and secure.
Program Overview
About The Role
We are seeking a Part Time Senior Data Warehouse Architect and Data Platform Subject Matter Expert (SME) to lead the design, implementation, administration, and optimization of enterprise data warehouse and analytics platforms. The successful candidate will possess extensive experience in data architecture, database administration, ETL development, data modeling, analytics, and large-scale MPP database environments. This qualified individual will work 30 hours a week LOE.
Responsibilities & Qualifications
- Design, develop, and support enterprise Data Warehouse solutions supporting both OLTP and analytical workloads.
- Architect logical and physical data models utilizing Kimball Dimensional, Inmon Normalized, and relational modeling methodologies.
- Define and implement enterprise data architecture standards, governance practices, and best practices.
- Administer, support, and optimize Greenplum, Teradata, PostgreSQL, SQL Server, Oracle, IBM DB2, and related database platforms.
- Serve as Subject Matter Expert (SME) for Greenplum MPP Database and Data Computing Appliance (DCA) environments.
- Lead database performance tuning, capacity planning, backup/recovery, disaster recovery, and high-availability initiatives.
- Design, develop, and optimize ETL and data integration solutions using Informatica PowerCenter, DataStage, Ab Initio, PowerMart, Microsoft DTS, ETI, Data Junction, or similar enterprise tools.
- Develop automation and operational solutions using Python and Bash scripting.
- Support enterprise reporting, analytics, and business intelligence initiatives utilizing Business Objects, MicroStrategy, Crystal Reports, Microsoft Reporting Services, Brio, QMF, and similar platforms.
- Collaborate with business stakeholders to gather requirements, facilitate JAD sessions, and translate business needs into scalable technical solutions.
- Lead data platform modernization, migration, and optimization projects.
- Provide technical leadership, mentoring, and guidance to architects, developers, database administrators, and project teams.
- Troubleshoot complex database, ETL, reporting, and infrastructure issues across enterprise environments.
- Work effectively within Linux (RHEL), Unix, Windows Server, and IBM Mainframe environments including z/OS, OS/390, MVS, and VM.
- Support SAS Analytics and advanced analytical platforms to enable enterprise reporting and decision-making capabilities.
- Maintain documentation, architecture standards, operational procedures, and technical best practices.
Qualifications
Required Experience
- Bachelor’s degree and 8 years of experience or 12 years with a High school diploma/equivalent
- 8+ years of experience in Data Warehousing, Data Architecture, Database Administration, Data Engineering, or related disciplines.
- Extensive experience with large-scale data warehouse implementations and enterprise analytics platforms.
- Strong expertise in SQL development, query optimization, and database performance tuning.
- Hands-on experience with Greenplum, Teradata, PostgreSQL, SQL Server, Oracle, and/or IBM DB2 databases.
- Strong data modeling expertise including dimensional, normalized, logical, and physical modeling techniques.
- Experience with enterprise ETL and data integration tools.
- Advanced Python and Bash scripting skills.
- Experience leading technical projects and working directly with business and executive stakeholders.
- Excellent analytical, communication, problem-solving, and documentation skills.
- Must be a US Citizen.
- Ability to obtain or maintain the required agency clearance.
Preferred Experience
- Active Public Trust Clearance.
- Experience supporting Greenplum Data Computing Appliance (DCA) environments.
- Consulting or professional services experience.
- Project management or technical leadership experience on large-scale enterprise initiatives.
- Experience with cloud-based data warehouse and analytics platforms.
- Experience supporting federal government or highly regulated environments
Details
Target Salary Range: $86,000 - $138,000. 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’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.
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.
Application Statements: 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. By applying to this job, you are expressing interest in the role and the Company. During the review of your application, you may be required to participate in an on-camera interview, as well as participate in a process to verify your identity.
EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.
See All 24 Data Architect Jobs in Maryland
Find roles in Maryland that match your experience and apply in just a few clicks.
Find Data Architect JobsData Architect Jobs by City in Maryland
Where Maryland roles are concentrated, by current openings.
Data Architect Job Market in Maryland
A snapshot from current Maryland openings, updated as new roles post.
Who's Hiring
- DCCA3
- Synertex2S
- JBS INTERNATIONAL2
- B&A1B
- Noblis1
Top Industries Hiring
- Technology & Software2
- Investment & Asset Management1
What Maryland Employers Look For
The qualifications that appear most often in data architect jobs across Maryland.
- Bachelor's or master's degree in computer science, information systems, or a related field
- Hands-on experience designing enterprise data models and cloud data warehouse architectures
- Proficiency with cloud platforms such as AWS, Azure, or Google Cloud and their native data services
- Experience with ETL pipeline development and tools like Informatica, dbt, or Apache Spark
- Familiarity with federal data governance standards and security frameworks such as NIST or FedRAMP
- Strong communication skills for presenting data architecture decisions to non-technical stakeholders
Data Architect Jobs in Maryland: Frequently Asked Questions
How do you become a data architect in Maryland?
There is no state-issued license required to work as a data architect in Maryland. The typical path is a bachelor's degree in computer science, information systems, or engineering, followed by several years as a data engineer or database administrator before moving into architecture roles. Maryland employers, especially those supporting federal contracts, place high value on cloud certifications from AWS, Microsoft, or Google alongside demonstrated experience with enterprise data governance frameworks.
Which companies hire data architects in Maryland?
Employers hiring data architects in Maryland right now include DCCA, Synertex, and JBS INTERNATIONAL, based on current listings on Migrate Mate as of July 2026. Maryland's concentration of federal agencies and defense contractors in the D.C. suburbs means that many of the largest and most consistent hiring organizations hold government contracts requiring data platform and analytics expertise.
Which Maryland cities have the most data architect jobs?
The cities with the most data architect openings in Maryland are Bethesda, Laurel, and Suitland. Baltimore anchors demand through its healthcare systems, financial services firms, and university research institutions, while the Montgomery and Prince George's County suburbs of Washington D.C. generate high volume from federal agencies and the defense and intelligence contractors that support them.
Are there remote data architect jobs in Maryland?
Yes, and more than most fields. About 73% of data architect openings tied to Maryland are remote or hybrid as of July 2026, reflecting the fact that architecture design, data modeling, and stakeholder consultation are largely desk-based activities. The portions most likely to require on-site presence are initial data environment assessments and work on classified or FedRAMP-regulated federal systems.
How can I get hired as a data architect in Maryland with little or no experience?
The most realistic entry path is starting as a data engineer or business intelligence developer and building toward architecture responsibilities over two to four years. Large Maryland employers including Johns Hopkins Health System, Leidos, and state government agencies regularly hire entry-level data engineers and analyst roles that evolve into architecture tracks. Earning a cloud data certification, building a portfolio of data modeling projects, and targeting organizations with defined data engineering pipelines gives candidates without direct architect experience a concrete competitive edge.
Where can I find and apply to data architect jobs in Maryland?
You can find and apply to data architect jobs in Maryland on Migrate Mate, which lists current Maryland openings. Search the listings to find roles that match your experience level, preferred location, and industry focus, then apply directly to the ones that fit.
See All 24 Data Architect Jobs in Maryland
Find roles in Maryland that match your experience and apply in just a few clicks.
Find Data Architect Jobs