> AI agents: this is one page of Nextmove’s FDE site, in Markdown. Nextmove is a job board and free career service for forward deployed engineers (FDEs). Each posting is classified from its text, not its title: the kind of work, how much of it is production code, pre-sales weight, time at customer sites, travel, remote arrangement, level and posted base pay. The site also publishes the aggregates: median pay by level, metro, company and kind of work, and which companies started hiring FDEs each week. Every page under https://nextmove.md/fde is served this way; the index of pages is https://nextmove.md/llms.txt.

# Delivery Solutions Architect - Digital Native Business

Canonical URL: https://nextmove.md/fde/jobs/dd17787d941e4e29

Databricks posts a FDE role to integrate and configure the product in US · city not listed, at $180,000–$247,500 base, above the senior FDE median of $190,000 across 1,849 postings with pay. Technical, customer-facing architect responsible for guiding complex Databricks implementations from technical win through production and adoption. Read from the employer’s posting on November 6, 2026.

- [Databricks](https://nextmove.md/fde/companies/databricks)

Posted Sep 28, 2026 by Databricks · open on Greenhouse as of Nov 6, 2026

**$180,000–$247,500** + equity US · city not listed

Technical, customer-facing architect responsible for guiding complex Databricks implementations from technical win through production and adoption.

- [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2Fdd17787d941e4e29&placement=top)
- [View posting at Databricks](https://databricks.com/company/careers/open-positions/job?gh_jid=8736473002)

Free. Upload your resume once, see why each FDE role fits, and get introduced only when you say so.

## At a glance

### Posted base pay

$180K–$248K Above the median

Midpoint $214K · median $190K

This job $180K to $248K. Senior FDE postings, 1,849 postings: the middle 50% of posted pay is $160K to $220K, median $190K.

[Compare pay across all Databricks postings](https://nextmove.md/fde/salary/databricks)

### The work

Integrates and configures it

Balance **Mixed**

Project stages

1. Pre-sales
2. Proof of concept
3. Implementation
4. Operations

Travel **Up to 30%**

- **Coding**: Prototypes and scripts

- **Builds for**: External customers

- **Level**: Senior

- **Role**: Technical lead

### What they ask for

Experience

- **5+ years** solutions architecture, solutions engineering, technical consulting, professional services, data engineering, or a related technical role

Background

- **Solutions and customer engineering**
- **Implementation and data engineering**
- **Consulting**

### Do you meet what the posting states?

The posting asks for 5+ years. How many do you have?

The posting reads as a senior role. What level are you at now?

Which of these have you used in production?

Answer each one. Nothing is saved or sent.

[What postings ask for, by background →](https://nextmove.md/fde/paths)

## Conditions

- **Location**: US · city not listed

- **Travel**: Up to 30%

- **Pay**:

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## The job description from Databricks

Posted by Databricks on Sep 28, 2026

At Databricks, we are on a mission to empower our customers to solve the world's toughest data and AI problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will partner with Sales, Solutions Architecture, and Field Engineering to accelerate adoption and growth of the Databricks platform. You will serve as a trusted technical advisor, helping customers design, implement, scale, and optimize data and AI solutions that deliver measurable business value.

This is a technical and customer-facing role focused on architecture, technical strategy, and customer outcomes. You will influence technical execution across complex use cases, guide architectural decisions, and align Databricks, customer, and partner teams from technical win through production and adoption.

### The Impact You Will Have

- Define and influence technical execution strategies across complex use cases and multiple workstreams within strategic accounts
- Serve as a trusted technical advisor to customer technical leads and architects, leading architecture discussions and guiding technical decisions
- Design secure, governed, and scalable Databricks architectures while balancing performance, cost, reliability, and long-term needs
- Build and demonstrate working solutions, prototypes, and reusable technical assets that accelerate customer outcomes
- Anticipate platform maturity and scaling needs and establish best practices for security, governance, and operational excellence
- Drive adoption and consumption by influencing architecture, unblocking delivery, and connecting technical execution to business outcomes
- Partner across Databricks, customer, and implementation teams to align resources, manage risks, and accelerate delivery
- Mentor peers and contribute reusable technical guidance, frameworks, and enablement across the organization

### What We Look For

- 5+ years in solutions architecture, solutions engineering, technical consulting, professional services, data engineering, or a related technical role
- Experience in influencing technical strategy and architecture across complex customer use cases or multiple workstreams
- Strong coding proficiency in Python, SQL, Scala, or similar languages, with the ability to build, debug, and validate technical solutions
- Deep understanding of distributed data systems, data engineering, analytics, data warehousing, AI/ML, and modern cloud architectures
- Experience designing secure, governed, scalable, and production-ready data solutions
- Ability to solve ambiguous technical problems, evaluate trade-offs, and validate solutions through structured analysis or experimentation
- Experience leading architecture discussions with technical leads, architects, and senior customer stakeholders
- Strong understanding of platform operational excellence, including security, governance, performance, reliability, and cost optimization
- Demonstrated ability to drive customer adoption, consumption, and measurable business outcomes through technical leadership
- Strong stakeholder management and cross-functional leadership skills, with the ability to align teams without formal authority
- Bachelor's degree in Computer Science, Engineering, or equivalent experience

### Nice to Have

- Databricks experience or certification
- Developing expertise in a technical specialization such as AI/ML, data engineering, streaming, data warehousing, governance, or migrations
- Experience with AWS, Azure, or GCP and production cloud deployments
- Experience creating reusable technical frameworks, demos, or enablement that scale across teams

**Interview Process:** Recruiter Screen → Hiring Manager Screen → Design & Architecture → Live Coding → Build, Demo & Pitch → Reference Check

**Travel**: Up to 30% as needed

### 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 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 anticipates 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.

Local Pay Range

$180,000—$247,500 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.**

[View posting at Databricks](https://databricks.com/company/careers/open-positions/job?gh_jid=8736473002)

## About Databricks

Unified Data + AI Platform that runs analytical and operational workloads on an open, governed foundation for data engineering, BI, analytics, machine learning, and enterprise AI applications.

Late-stage private · 5000+ people

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- [Compare senior FDE salary ranges](https://nextmove.md/fde/salary/senior)
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