Solutions Architect - Global Telecommunications

FEQ227R233

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.

At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!

As a Sr. Solutions Architect, you are an expert-level technical leader responsible for the organization's most complex customer engagements. You drive consumption strategy, own executive-level relationships, and serve as the definitive technical authority for your accounts. You have declared your archetype—a recognized technical specialization that makes you a force multiplier across your team and region. You operate at the intersection of deep technical expertise, strategic account planning, and executive influence.

The Impact You Will Have

Drive the technical and consumption strategy for the organization's most complex customer engagements, directly influencing platform adoption and revenue growth.

Own senior-level technical relationships — serving as a trusted advisor on enterprise data and AI strategy

Lead the most complex architecture engagements: multi-workload platforms, enterprise-wide migrations, real-time systems, and AI/ML at scale

Operate as an Expert on the Databricks Platform with a declared archetype — actively mentoring others and driving horizontal impact across your team

Develop and execute competitive strategies for your customers, positioning Databricks against incumbent and emerging platforms

Orchestrate cross-functional teams (DSAs, SSAs, Partners, Product) to deliver enterprise-grade solutions

Coach and develop junior SAs (L3–L5) on technical depth, customer engagement, and use case prioritization

Contribute to Field Engineering thought leadership through customer-facing content, workshops, and community engagement

What We Look For

8+ years in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role

Expert-level coding proficiency — Python, SQL, and ideally Spark/PySpark. You will complete a live coding assessment and a platform build during the interview

Deep expertise in enterprise data architecture: distributed systems at scale, streaming/real-time, lakehouse design patterns, data governance frameworks, and cloud-native platforms

Expert-level Databricks Platform knowledge (or equivalent depth in competing platforms with demonstrated rapid learning ability)

Declared technical specialization with recognized depth — e.g., real-time architectures, ML/AI platforms, data governance, large-scale migrations, or industry-specific solutions

Proven track record of driving consumption growth and platform adoption in large accounts

Executive presence — ability to influence Directors, VPs, and C-level stakeholders on long-term data and AI strategy

Experience leading competitive displacements and complex enterprise evaluations

Ability to travel to customers 30% of the time

Strong strategic thinking — connecting technical architecture decisions to business outcomes and revenue impact

Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience); advanced degrees are valued

Nice to Have:

Databricks certifications

Prior experience at Databricks, Snowflake, AWS, Google, Microsoft, or a top-tier data/AI company

Published thought leadership (blogs, conference talks, open source contributions)

Industry vertical expertise (telco) with executive-level domain credibility

Interview Process: Recruiter Screen → Hiring Manager Screen → Design and Architecture Interview → Live Coding Assessment → Build, Demo, Pitch! Presentation → Reference Check

#CMEG

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

$219,100—$301,300 USD

Zone 2 Pay Range

$219,100—$301,300 USD

Zone 3 Pay Range

$219,100—$301,300 USD

Zone 4 Pay Range

$219,100—$301,300 USD