# Solutions Architect - Global Telecommunications

**Company:** [Databricks](https://hotfix.jobs/companies/databricks)
**Location:** Remote
**Role:** Solutions Architecture
**Salary:** $219k – $301k/yr
**Experience:** 8+ years
**Skills:** Python, SQL, Spark, Pyspark, Databricks, Distributed Systems, Real-Time Systems, Lakehouse, Data Governance, Cloud-Native Platforms, Machine Learning, Artificial Intelligence, Data Architecture, Competitive Analysis, Enterprise Architecture
**Posted:** 2026-08-27

> Leads complex enterprise data and AI architecture engagements, driving Databricks adoption, executive relationships, and consumption strategy. Requires 8+ years of customer-facing technical leadership, expert Python and SQL skills, deep enterprise data architecture expertise, and strong executive influence.

## Job Description

## Responsibilities
- Drive technical and consumption strategy for complex customer engagements, influencing platform adoption and revenue growth.
- Own senior-level technical relationships and advise enterprise customers on data and AI strategy.
- Lead complex architecture engagements involving multi-workload platforms, enterprise migrations, real-time systems, and AI/ML at scale.
- Serve as an expert on the Databricks Platform and mentor team members.
- Develop competitive strategies and position Databricks against incumbent and emerging platforms.
- Orchestrate cross-functional teams, including data and solutions architects, partners, and product teams, to deliver enterprise-grade solutions.
- Coach and develop junior solutions architects on technical depth, customer engagement, and use-case prioritization.
- Contribute to field-engineering thought leadership through customer content, workshops, and community engagement.
- Travel to customers approximately 30% of the time.

## Requirements
- 8+ years of experience in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role.
- Expert coding proficiency in Python and SQL; Spark or PySpark preferred. A live coding assessment and platform build are part of the interview process.
- Deep expertise in enterprise data architecture, including distributed systems, streaming and real-time systems, lakehouse design patterns, data governance, and cloud-native platforms.
- Expert-level Databricks Platform knowledge or equivalent expertise with competing platforms and demonstrated ability to learn quickly.
- Recognized technical specialization in areas such as real-time architectures, ML/AI platforms, data governance, large-scale migrations, or industry-specific solutions.
- Proven ability to drive consumption growth and platform adoption in large accounts.
- Executive presence and ability to influence directors, vice presidents, and C-level stakeholders on data and AI strategy.
- Experience leading competitive displacements and complex enterprise evaluations.
- Strong strategic thinking and ability to connect 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.

## Nice to Have
- Databricks certifications.
- Experience at Databricks, Snowflake, AWS, Google, Microsoft, or a leading data and AI company.
- Published thought leadership, such as blogs, conference talks, or open-source contributions.
- Telecommunications industry expertise with executive-level domain credibility.

## Compensation
- Base salary range: $219,100–$301,300 USD.
- The total compensation package may also include an annual performance bonus, equity, and benefits.

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