> Markdown version of [/jobs/ext/2979591-solutions-architecture-sales-engineering-data-architect](https://www.wearedevelopers.com/jobs/ext/2979591-solutions-architecture-sales-engineering-data-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Solutions Architecture & Sales Engineering - Data Architect - **Company:** Aleut Federal LLC - **Location:** Arlington, VA, United States - **Experience:** Expert - **Salary:** $137,000.0 - $147,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Business Analytics Applications, Data Analysis, Computing Platforms, Data Architecture, Data Cleansing, Data Integration, Data Systems, Decision Support Systems, Enterprise Data Management, Feature Engineering, Azure Data Factory, Snowflake, Data Strategy, Data Analytics, AWS Data Analytics, Data Management, Data Pipelines, Databricks - **Published:** September 18, 2026 - **Apply:** https://www.jofdav.com/jobs/59753727-solutions-architecture-sales-engineering-data-architect ## About the Role * S. Citizenship (U.S. Citizens only). * 7+ years of U.S. federal experience with a Bachelor's degree. * Hands-on experience in enterprise data architecture and platform design. * Experience with data integration, analytics enablement, and technical solutioning and proposal development. * Ability to obtain a Position of Public Trust., * Experience with Databricks, Snowflake, or similar platforms. * Experience with federal data programs and AI/ML data pipelines. * Experience with lakehouse, warehouse, and hybrid data architectures. * Active Top Secret clearance. Certifications (Desired, Representative of Level) * AWS Data Analytics Specialty * Azure Data Engineer Associate * Databricks certification ## Description Aleut Federal is seeking a senior, market-facing technical leader specializing in enterprise data architecture, analytics platforms, and data-driven solutions across U.S. federal environments. This role spans the full lifecycle, including opportunity shaping, solutioning, capture, proposal development, pricing, and delivery assurance. The ideal candidate is a hands-on data architect capable of designing scalable data ecosystems, enabling analytics and AI use cases, and translating data capabilities into mission outcomes. Core Responsibilities Growth, Sales Engineering & Solutioning * Lead technical solutioning for federal opportunities involving enterprise data architecture, data platforms, analytics, and integration. * Directly influence and help drive technical wins by defining differentiators, leading customer discussions and architecture sessions, and translating data capabilities into mission, reporting, and decision outcomes. * Partner with Business Development and Capture to shape opportunities and present and defend data architecture approaches. AI-Enabled Engineering (Required) * Aleut Federal expects AI to be enabled through strong data architecture and governed data foundations. * Design data architectures that support AI/ML, retrieval workflows, analytics, and operational decision support. * Support data preparation, feature engineering, lineage, access control, and observability needed for production-grade AI use cases. * Required: experience enabling AI or advanced analytics through enterprise data architecture. Strongly preferred for Senior Principal: delivered data platforms that directly support production AI systems with measurable outcomes. * Ensure data used by AI systems is secure, governed, and compliant with federal requirements. Capture, Proposal & Pricing * Lead and contribute to technical proposal development for data opportunities. * Author and own complete technical sections, including data architecture, ingestion and integration model, governance approach, and analytics enablement. * Build BOEs aligned to platform scale, integration effort, and operational complexity. * Ensure solutions are executable, differentiated, and aligned to mission needs. Delivery Assurance & Technical QA * Ensure alignment between proposed and delivered data solutions. * Provide technical oversight during architecture, integration, and implementation phases. * Identify and mitigate risks related to data quality, lineage, integration complexity, governance, and platform performance. Technical Marketing, Thought Leadership & Industry Engagement * Develop data and analytics solution briefs, capability messaging, and reference patterns. * Actively participate in customer briefings, industry events, and technical forums and be willing to speak on enterprise data strategy, analytics, and AI enablement. * Position Aleut Federal as a credible enterprise data and analytics partner., * Enterprise data-focused * Analytics and AI-enabled * Growth-driven with direct impact on technical wins * Hands-on and delivery accountable * Cross-offering and mission-aligned ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence)