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Senior Solutions Architect - Retail, Consumer Goods, Travel & Hospitality

DatabricksAtlanta, Georgia; Charlotte, North Carolina; Southeast - United StatesField Engineering - FE Direct Enterprise
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Salary
$219,100 — $301,300 USD
Job type
Full-time
Experience
Senior · 8+ yrs
Posted
6 Oct 2026
Status
Open · checked 7d ago

About this role

Databricks seeks a Senior Solutions Architect in Atlanta, Georgia, Charlotte, North Carolina, or the Southeast United States to lead complex technical engagements and enterprise data strategies. This full-time position suits an experienced technical leader with a strong background in solutions architecture and artificial intelligence platforms.

Role Overview

Databricks hires a Senior Solutions Architect to act as the primary technical authority for critical accounts across the region. The professional shapes consumption strategies, builds executive partnerships, and aligns technical decisions with business goals. The role demands deep specialization and active mentorship of junior staff members.

Key Responsibilities

Direct consumption and technical strategies for highly complex customer accounts to increase platform adoption.
Establish senior-level technical advisory relationships focused on enterprise artificial intelligence and data strategy.
Manage intricate architecture projects including multi-workload setups, large-scale migrations, real-time systems, and scaled artificial intelligence.
Maintain expert knowledge of the hiring company's platform with a specific technical specialization to mentor peers.
Formulate competitive strategies against rival platforms and coordinate cross-functional teams and partners.
Guide junior solutions architects on use case prioritization, technical depth, and customer engagement.

Requirements

Minimum of eight years of professional experience in solutions architecture, principal engineering, technical pre-sales leadership, or senior customer-facing technical roles.
Expert coding proficiency in Python and SQL, with familiarity in Spark or PySpark.
Extensive background in distributed systems, streaming architectures, lakehouse design patterns, and data governance frameworks.
Demonstrated capability to influence directors, vice presidents, and C-level stakeholders.
Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative field, or equivalent experience.

Nice to Have

Possession of official platform certifications.
Background working at top-tier data and artificial intelligence companies or specific cloud providers.
Record of published thought leadership through conference talks, blogs, or open source contributions.
Industry vertical expertise with recognized domain credibility.

Skills and Tools

Python
SQL
Spark
PySpark
Distributed Systems
Lakehouse Design
Data Governance

Salary and Benefits

The salary range for this position spans from $219,100 to $301,300 USD. Total compensation packages may include eligibility for 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 encompassing data management, analytics, and intelligence tools for modern workloads.

How to Apply

Interested candidates should submit their application directly on the official company careers page.

Skills and tech stack

Questions candidates ask

What is the salary range for the Senior Solutions Architect role?

The salary range is between $219,100 and $301,300 USD, with potential additions for annual performance bonuses, equity, and regional benefits.

Where is the position located?

The job is based in Atlanta, Georgia; Charlotte, North Carolina; or the Southeast United States region.

How many years of experience are required?

Candidates must have eight or more years of experience in solutions architecture, principal engineering, technical pre-sales leadership, or similar senior customer-facing technical roles.

What technical coding skills are evaluated during the interview process?

Expert-level coding proficiency in Python, SQL, and Spark or PySpark is required, which includes completing a live coding assessment and a platform build during the interviews.

What educational background is expected?

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

Ready to apply?

The application is on the official Databricks careers page.

Apply on company site