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Sr. Solutions Architect

DatabricksCentral - United States; Remote - TexasField Engineering - FE Direct Enterprise
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Salary
$219,100 — $301,300 USD
Job type
Full-time
Work mode
Remote
Experience
Senior · 8+ yrs
Posted
6 Oct 2026
Status
Open · checked 7d ago

About this role

Databricks seeks a full-time Sr. Solutions Architect for the Central region of the United States, including remote options in Texas. This technical leadership position suits experienced professionals who want to guide enterprise customers through complex data and AI architecture engagements.

Role Overview

Databricks is hiring a Sr. Solutions Architect to serve as the definitive technical authority for major customer accounts. The professional in this role shapes consumption strategies, builds executive relationships, and acts as a specialized technical expert to drive platform adoption and revenue growth.

Key Responsibilities

Direct technical and consumption strategies for complex customer accounts to foster platform adoption.
Establish senior-level technical advisory relationships focused on enterprise data and AI strategy.
Oversee intricate architecture projects involving multi-workload platforms, large-scale migrations, real-time systems, and AI/ML implementations.
Maintain deep platform proficiency with a specific technical archetype to mentor team members and support regional impact.
Formulate competitive positioning strategies against alternative platforms.
Coordinate cross-functional groups including partners, product teams, and other technical specialists.
Mentor and guide junior solutions architects regarding technical capability and use case prioritization.
Produce customer-facing content, workshops, and community materials to advance field engineering leadership.

Requirements

Minimum of eight years of professional background in solutions architecture, principal engineering, technical pre-sales leadership, or senior technical customer-facing roles.
Advanced coding proficiency specifically in Python and SQL, with Spark or PySpark knowledge.
Extensive background in enterprise data architecture covering distributed systems, streaming frameworks, lakehouse design patterns, and data governance.
Familiarity with the Databricks platform or equivalent comparable platforms.
Established technical specialization in areas such as real-time architectures, ML platforms, or large migrations.
Executive presence capable of influencing directors, vice presidents, and C-level stakeholders.
Bachelor's or Master's degree in Computer Science, Engineering, a quantitative field, or equivalent practical experience.

Nice to Have

Official Databricks certifications.
Prior employment at Databricks, Snowflake, AWS, Google, Microsoft, or related data and AI enterprises.
Published thought leadership material including blogs, conference presentations, or open-source contributions.
Industry vertical expertise with high-level domain credibility.

Skills and Tools

Python
SQL
Spark
PySpark
Databricks Platform
Distributed systems
Lakehouse design patterns
Cloud-native platforms

Salary and Benefits

The local pay range for this position spans from $219,100 to $301,300 USD. Total compensation packages may include annual performance bonuses, equity offerings, and regional benefits.

About the Company

Databricks operates as a data and artificial intelligence company supporting over 20,000 global organizations. The enterprise provides a unified platform featuring tools like Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog to help businesses build and scale analytics, data apps, and agents.

How to Apply

To apply for this role, please visit the official company careers page.

Skills and tech stack

PythonSQLSparkPySparkDatabricks PlatformGenieLakebaseAgent BricksLakeflowLakehouseUnity CatalogAWSDistributed Systems

Questions candidates ask

Where is this job located?

This position covers the Central United States with remote flexibility available in Texas.

What is the salary range for this role?

The local pay range is $219,100 to $301,300 USD, with actual compensation depending on relevant skills, experience, certifications, and location.

How many years of experience are required?

Candidates must have 8 or more years of experience in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role.

What coding languages are tested during the interview?

Candidates must demonstrate expert-level coding proficiency in Python, SQL, and ideally Spark or PySpark, which includes completing a live coding assessment.

What educational background is expected?

A Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline is required, though equivalent experience is also accepted.

Ready to apply?

The application is on the official Databricks careers page.

Apply on company site