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Added 1 min ago
Resident Solution Architect
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Added 3 mins ago
Databricks Data Engineer
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Added 3 mins ago
Lead Databricks Data Engineer
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Architect and develop scalable ETL/ELT data pipelines for batch and real-time processing.
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- $139,300 to $250,700 USD / year
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Added 4 mins ago
Senior Vice President, Director of Performance Measurement & Infrastructure
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Added 5 mins ago
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Added 6 mins ago
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Lead Mobile QA Automation Engineer
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Added 7 mins ago
ServiceNow Solution Architect Lead
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Added 7 mins ago
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Architect
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Added 10 mins ago
Forward Deployed AI Engineering Manager | Supply Chain
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Added 11 mins ago
Robotics & Physical AI Architect
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Added 15 mins ago
Staff Software Development Engineer
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Added 16 mins ago
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Added 18 mins ago
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Director Product Management (Billing)
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- $167,600 to $301,800 USD / year
+ Architect the convergence of legacy enterprise billing stacks with high-growth cloud compute billing systems to eliminate customer friction.
Added 19 mins ago
Director, AI & Data Solution Architect
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As a Director, AI & Data Solution Architect you will lead the design of AI and data solutions that help clients modernize platforms, shape architecture choices, and connect technical…
Added 19 mins ago
Director, AI & Data Solution Architect
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As a Director, AI & Data Solution Architect you will lead the design of AI and data solutions that help clients modernize platforms, shape architecture choices, and connect technical…
Added 20 mins ago
Principal Product Manager Physical AI
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Product management experience with developer platforms, AI/ML systems, robotics or autonomy, or products that span hardware and software.
Added 21 mins ago
Sr. Practice Architect, M365/Workforce AI
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Added 21 mins ago
Wealth Management - Senior Lead Data Architect - Vice President
JPMC page
Plano, TX · Jersey City, NJ · Wilmington, DE
As a Lead Data Architect at JPMorgan Chase within the Private Bank Chief Data & Analytics Office, you are an integral part of the team that develops new data-product offerings and leads…

Databricks

Sr. Forward Deployed Engineer - Public Sector

Remote, United States

$182,000 - $250,208 USD

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Job details

Pay: $182,000 - $250,208 USD
Experience: 5+ years experience in data engineering, data platforms & analytics, or software engineering
Posting language: English
Posted: Nov 5, 2026

Original job description

CSQ327R221

PLEASE NOTE:

Due to federal contract requirements and client site access obligations, eligibility for a U.S. government Public Trust, Secret and/or Top Secret clearance are required to access classified information. Candidates with the interest and eligibility to obtain an active Public Trust or higher clearance are strongly encouraged to apply.

This role requires 25% travel to client sites.

About Databricks

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems, from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers, and customer obsessed, we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

The Role

As a Sr. Forward Deployed Engineer (FDE), you will work with federal, state, and local government customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.

This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.

The impact you will have:

Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Transformational Impact: 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 with input from the customer
Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.
Deliver Technical Components: 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
Cross-Collaborate: Work with Engineers and Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues
Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.
Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.

What We're Looking For

Minimum Qualifications

5+ years experience in data engineering, data platforms & analytics, or software engineering
Fluency in writing code in 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, documentation and white-boarding skills
Experience working with enterprise clients and managing conflicts across a broad stakeholder range

Preferred Qualifications

8+ years experience in data engineering, data platforms & analytics, or software engineering
Databricks Certification
Expertise in MLOps, ML/AI models, and AI APIs

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Zone 1 Pay Range

$182,000 - $250,208 USD

Zone 2 Pay Range

$182,000 - $250,208 USD

Zone 3 Pay Range

$182,000 - $250,208 USD

Zone 4 Pay Range

$182,000 - $250,208 USD

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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More about this job

Skills

Databricks
Adaptability
Customer service
Data engineering
Python
Scala
JavaScript
TypeScript
AWS
Microsoft Azure
Google Cloud
Distributed computing
Apache Spark
CI/CD
ML
Documentation

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