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Cloud Data Architect

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Published
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3Application actions
21 Sep 2026Apply before
Opportunity details

About this role.

AI Summary

Oddball is seeking a Cloud Data Architect to own an enterprise-scale, multi-cloud data and analytics architecture supporting VA users and sensitive Veteran data. The role centers on Azure and Azure Databricks, with responsibility for modernization, migration strategy, data modeling, platform engineering, and secure data-product delivery. The architect will establish governance, security, and compliance controls aligned with federal standards including FISMA and NIST 800-53. Success requires strong technical documentation and close collaboration with engineers, analysts, product partners, and government stakeholders in a remote Agile environment.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

5/5
EasyHard

Pace & Pressure

4/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThis is a senior architecture role involving mission-critical federal data, multi-cloud design, modernization, AI/ML enablement, and strict security and compliance obligations. The architect must make high-impact technical decisions while aligning diverse technical and government stakeholders.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job medianHighly competitive
$165,000
US market range$150k–$180k
AI insightThe disclosed US wage range is $150,000 to $180,000 yearly, with a midpoint of $165,000. This is a competitive market range for a senior Cloud Data Architect with Azure Databricks, federal compliance, and multi-cloud modernization responsibilities in the US.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you design a secure, scalable Azure Databricks data platform for sensitive Veteran PII and PHI?

I would use a layered data architecture with controlled ingestion, curated datasets, and governed consumption zones. Security would include least-privilege RBAC, managed identities, encryption in transit and at rest, private networking, centralized secrets management, audit logging, data classification, and fine-grained access controls. I would map these controls to applicable FISMA and NIST 800-53 requirements and validate them through documented evidence and continuous monitoring.

Describe your approach to modernizing a legacy data environment into a multi-cloud platform.

I begin with source-system discovery, data profiling, dependency mapping, and a target-state architecture that defines domains, ownership, quality standards, and integration patterns. I prioritize migrations by mission value, risk, complexity, and data sensitivity, then use incremental delivery with reconciliation controls and parallel validation. I also establish observability, lineage, rollback procedures, and adoption plans so modernization improves both technical reliability and user access.

How do you establish effective data governance without preventing teams from delivering quickly?

I treat governance as an enabling platform capability rather than a manual approval process. Standardized data contracts, reusable pipeline templates, automated quality checks, cataloging, lineage, and policy-based access allow teams to work efficiently within clear guardrails. I would define accountable data owners and stewards, publish practical standards, and use measurable service levels for quality, discoverability, and access requests.

What architecture documentation would you produce for this program?

I would maintain a set of living artifacts including context and container diagrams, data-flow diagrams, logical and physical data models, integration specifications, security architecture, threat models, control mappings, operational runbooks, and architecture decision records. Documentation would clearly identify data classifications, system boundaries, ownership, interfaces, resiliency patterns, and compliance evidence. I would keep it version-controlled and reviewed as part of the delivery lifecycle.

How would you enable data science and AI/ML workloads while maintaining controls over sensitive data?

I would provide governed, role-based access to approved curated data products rather than unmanaged raw extracts. The platform would include reproducible development environments, model registry and deployment controls, experiment tracking, lineage, monitoring, and approval workflows appropriate to model risk. I would ensure training and inference workflows preserve data minimization, auditing, security boundaries, and applicable federal compliance requirements.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.

Oddball believes that we can bring change and improve the daily lives of millions by bringing quality software to the federal space. Our team is full of experienced engineering, product, and user experience professionals who love bringing scalable solutions to life as much as they love working with clients to solve problems. We value learning, growth, and the ability to make a big impact at a rapidly growing company.

We’re looking for a Cloud Data Architect to join our VA team, designing and owning the technical architecture of an enterprise-scale, multi-cloud data and analytics platform serving thousands of VA users and mission-critical Veteran data.

What you’ll be doing:

  • Own and document cloud data architecture across a multi-cloud environment with a primary focus on Azure and Azure Databricks
  • Lead data architecture modernization efforts including migration strategy, data modeling, and platform engineering
  • Design and implement governance, security, and compliance strategies for a platform handling sensitive Veteran PII and PHI
  • Enable data science and AI/ML capabilities on the platform including model deployment infrastructure and data pipelines
  • Collaborate with data engineers, analysts, and VA stakeholders to deliver scalable, secure, and consumable data products
  • Support data ingestion, curation, and interoperability across disparate VA source systems
  • Build and maintain technical architecture documentation, security strategies, and compliance artifacts

What you’ll bring:

  • Proven experience designing and managing enterprise cloud data architectures in Azure
  • Hands-on experience with Azure Databricks for data engineering, analytics, and AI/ML workloads
  • Experience with Power BI or similar visualization platforms
  • Familiarity with AWS data services is a plus given the multi-cloud environment
  • Strong background in data governance, security compliance, and federal data standards including FISMA and NIST 800-53
  • Experience with large-scale data migration and architecture modernization efforts
  • Ability to produce clear, detailed technical architecture documentation
  • Thrives in a remote, collaborative Agile environment and genuinely enjoys working across engineering, product, and government stakeholder teams
  • Communicates clearly and openly, whether presenting architecture decisions to leadership or working through integration design with engineers
  • Performs other related duties as assigned

Requirements:

  • Applicants must be authorized to work in the United States. In alignment with federal contract requirements, certain roles may also require U.S. citizenship and the ability to obtain and maintain a federal background investigation and/or a security clearance.

Education:

  • Bachelor’s Degree

Benefits:

  • Fully remote
  • Tech & Education Stipend
  • Comprehensive Benefits Package
  • Company Match 401(k) plan
  • Flexible PTO, Paid Holidays

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities:

Oddball is an Equal Opportunity Employer and does not discriminate against applicants based on race, religion, color, disability, medical condition, legally protected genetic information, national origin, gender, sexual orientation, marital status, gender identity or expression, sex (including pregnancy, childbirth or related medical conditions), age, veteran status or other legally protected characteristics. Any applicant with a mental or physical disability who requires an accommodation during the application process should contact an Oddball HR representative to request such an accommodation by emailing hello@Oddball.io

The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)

Compensation:

At Oddball, it’s important each employee is compensated competitively and fairly. In alignment with state legal requirements. A range for the included position is listed below. Be advised, actual offer details are determined by job category, job location, and candidate skill level.

United States Wage Range: $150,000 – $180,000

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This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

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