# Resident Solutions Architect-Public Sector

**Company:** [Databricks](https://hotfix.jobs/companies/databricks)
**Location:** Remote
**Role:** Solutions Architecture
**Salary:** $182k – $250k/yr
**Experience:** 7+ years
**Skills:** Python, Scala, JavaScript, TypeScript, AWS, Azure, GCP, Spark, CI/CD, MLOps, Databricks
**Posted:** 2026-07-18

> Sr. Forward Deployed Engineer building and productionizing data and AI solutions with customers on the Databricks platform. Own end-to-end architecture, implementation, and delivery of production systems combining data engineering, ML models, and applications for public sector clients. Requires 6+ years experience, deep Spark expertise, and multi-cloud knowledge.

## Job Description

## Impact You Will Have

- Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications, data ingestion, and ML/AI model integration.
- Guide strategic customers as they implement transformational big data projects including end-to-end design, build, and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work.
- Guide customers on architecture and design; bootstrap or implement customer projects which leads to customers' successful understanding, evaluation, and adoption of Databricks.
- Own architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.
- Work with the Databricks technical team, Project Manager, Architect, and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
- Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement-specific product and support issues.
- Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.
- Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.

## What We Look For

- 6+ years experience in data engineering, data platforms & analytics, or software engineering.
- Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks.
- Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one.
- Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals.
- Familiarity with CI/CD for production deployments.
- Working knowledge of MLOps, ML/AI models and AI APIs.
- Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.
- Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.
- Documentation and white-boarding skills.
- Experience working with enterprise clients and managing conflicts across a broad stakeholder range.
- Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.
- Travel to customers 20% of the time.
- Databricks Certification.

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**Apply:** https://hotfix.jobs/jobs/63a89abc-8a35-4236-8910-92c94c32d0d8
**Canonical:** https://hotfix.jobs/jobs/63a89abc-8a35-4236-8910-92c94c32d0d8