New

Solutions Architect

AEM Corporation

$175,000-$190,000

United States, Virginia, Reston

11951 Freedom Drive (Show on map)

Oct 23, 2026

About Us
At AEM, we're on a mission to help organizations unlock the power of their data. We build cutting edge data platforms that power AI and business critical decisions. We're looking for passionate innovators to join our team and help us build better solutions.
Position
As a Solutions Architect, you will be the key technical bridge between our customers' business goals and our world-class engineering teams. You're an exceptional communicator and thrive on understanding a client's objectives and translating them into working systems. You will align client needs with effective solutions and champion secure, scalable, and cost-effective data solutions hosted on Azure and AWS, guiding our customers and delivery teams from the initial workshop to a successful launch.
What We Offer

Make a tangible impact through strategic client opportunities and grow professionally with dedicated support for your education and development.
Thrive in a collaborative, team-first culture that genuinely cares for its members, reflected in our communication and generous benefits.
Enjoy a flexible environment and work can be performed at our Reston, Virginia office or remotely.
Connect with colleagues from across the country at our annual all-company gathering to build relationships and celebrate our successes.
Advance your career on a clear path with defined opportunities for growth into senior and principal roles.

How We Work

Scrum-Aligned Collaboration: We believe in clear goals, user stories, acceptance criteria, and automated testing. We actively participate in planning, reviews, and retrospectives.
Team-First Culture: We seek help early and offer help freely. We elevate our standards through design reviews, pair programming, and shared knowledge management.
Outcome-Driven Delivery: We measure our impact (mission, performance, quality, cycle time), iterate on our processes, and stay focused on delivering customer value.

Key Responsibilities

Customer Engagement & Solution Design: Lead discovery workshops, clarify business goals, and elicit all functional/non-functional requirements (security, cost, performance) to design and present a clear solution.
Data Platform Architecture: Design modern lakehouse and data platform topologies on Azure and AWS, defining patterns for ingestion, storage, processing (batch/streaming), and consumption (BI/AI/ML). Contribute to the continual evolution of AEM's solution portfolio.
Technical & Business Advisory: Advise clients on the best services (AWS, Azure, Databricks, Snowflake) to meet their needs. Clearly communicate tradeoffs between cost, complexity, and risk to secure stakeholder alignment.
Modernization Strategy & Execution: Develop and implement modernization roadmaps that align mission priorities with target architectures and phased delivery plans. Assess legacy systems, prioritize initiatives, identify dependencies and risks, and guide implementation against agreed milestones and measurable outcomes.
AI-Enabled Solutions & Processes: Use approved AI tools to improve solution design and delivery, and identify, evaluate, and incorporate AI capabilities into new systems and business processes where they provide measurable value. Partner with stakeholders to validate results and establish appropriate data protection, cybersecurity, governance, and human oversight.
Data Governance & Quality: Establish and champion data strategies and the value of business glossaries, data catalogs, lineage, master data management, and an organization that continually grows to realize the potential value of their data.
Engineering & Team Enablement: Mentor engineers by improving and explaining our reference architectures, design artifacts, and best-practice patterns. You'll review designs and PRs to ensure solutions are secure, scalable, and maintainable.

What We're Looking For (Must Have Qualifications):

10+ years in data/analytics, with at least 5+ years in an architect role leading end-to-end solutions.
Bachelor's or Master's Degree: Computer Science, Information Systems, Data Science, Software Engineering, Applied Math, Industrial Engineering or similar.
Federal Sector Experience: Required experience designing and delivering technology solutions for Federal Civilian agencies or the Department of War, with an understanding of federal mission needs, operating environments, and customer requirements.
Secure Computing & Cybersecurity: Required experience designing and delivering solutions in secure computing environments and incorporating cybersecurity requirements into system architecture, development, and operations, including access controls, data protection, secure configuration, and applicable federal security and compliance requirements.
Modernization Roadmaps: Required experience developing and implementing modernization roadmaps that translate current-state assessments and mission objectives into target architectures, prioritized initiatives, phased transition plans, dependencies, milestones, and measurable outcomes.
Applied AI & AI Tool Proficiency: Required hands-on experience using AI tools to support solution design, development, analysis, and workflow improvement, and incorporating AI capabilities into new systems and business processes. Experience must include evaluating use cases, integrating and validating AI-enabled capabilities, and addressing data privacy, cybersecurity, human oversight, and applicable customer policies.
Exceptional Communication: Proven customer-facing skills with the ability to translate complex technical concepts for business stakeholders, lead workshops, and present to executives.
BD Experience. Experience supporting Business Development activities including creating and delivering client presentations, developing solutions, and estimating levels of efforts and system costs.
Cloud Expertise (Azure or AWS): Hands-on experience designing and delivering data platforms using services like Spark, ADLS Gen2, AWS S3, Databricks, Snowflake, Glue, Azure Synapse, CDC, Kafka, Lambda, Delta Lake, Iceberg, EMR, etc.
Data Engineering Foundations: Strong proficiency in Python (Pandas/PySpark) and SQL for reproducible, testable data transformations.
Agile & Collaborative: Experience working in Scrum teams and partnering with product owners.
Eligibility: Ability to obtain a Public Trust or other security clearances as required by client contracts.

Nice-to-Haves (Bonus Points If You Have):

Experience with commercial data platforms, e.g., Databricks, Snowflake.
Hands-on experience with data governance tools (e.g., data catalogs, lineage).
Knowledge of MDM, reference data concepts, and data stewardship practice
Experience with multi-cloud data integration patterns (Azure, AWS, GCP)
Understanding of FinOps, cost optimization strategies, and platform observability.
Relevant certifications from Microsoft Azure or AWS.

AEM and its affiliates are equal opportunity employers, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status, or any other characteristic protected by law. - AA M/F/Vet/Disability

Federal law requires TAEM and its affiliates to verify identity and employment eligibility with information from your Form I-9. The E-Verify system is used.

The California Consumer Privacy Act of 2018 ("CCPA") imposes specific obligations on businesses processing personal information of California residents. Pursuant to the CCPA, AEM and its affiliates are required to provide applicants who are California residents a notice, used at or before the point of collection of such personal information, which identifies the categories of personal information that may be collected and why AEM and its affiliates collect such information. Applicants can find information about AEM's privacy policy and CCPA here.