Solutions Architecture & Sales Engineering - Data Architect

Aleut Federal LLC; Arlington (VA, CO); On-site; USD 150,000 - 225,000; Full time

Benefits offered by this job

Health insurance

Paid Time Off

Short- and Long-Term Disability

Life insurance

401 (k) and match

Job summary

Aleut Federal seeks a senior, market-facing technical leader in Solutions Architecture & Sales Engineering to drive enterprise data architecture, analytics platforms, and AI-enabled data solutions across U.S. federal environments.

The role spans lifecycle activities from opportunity shaping to delivery assurance, requiring hands-on design of scalable data ecosystems, governance, and analytics enablement to translate capabilities into mission outcomes.

Qualifications

• 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.

Responsibilities

• 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.
• 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.
• 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.
• 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.
• 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.

Skills

Enterprise data architecture

Data integration

Analytics enablement

AI/ML data pipelines

Solutioning & proposal development

Education

Bachelor’s degree

Tools

Databricks

Snowflake

AWS analytics

Job description

Solutions Architecture & Sales Engineering - Data Architect

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.
• 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.

Required Qualifications

• 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.

Preferred Qualifications

• 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.

Certifications (Desired, Representative of Level)

• AWS Data Analytics Specialty
• Databricks certification

Position Profile Summary

• Analytics and AI-enabled
• Growth-driven with direct impact on technical wins
• Hands-on and delivery accountable
• Cross-offering and mission-aligned

Salary Range: $150,000-$225,000

We will accept applications for this position until 11/1/26.

Aleut offers the following benefits to eligible employees:

• Health insurance
• Paid Time Off
• Short- and Long-Term Disability
• Life insurance
• 401 (k) and match

Aleut Federal, LLC provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or genetics. In addition to federal law requirements, AF complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. AF expressly prohibits any form of workplace harassment based on race, color, sex, religion, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.

#AMS

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