Solutions Architect (Telco)

Location: United States

Salary: $180,000–$247,500 USD annually

Company

Databricks provides a unified Data and AI Platform for building and scaling data, analytics, AI applications, and agents.

What you will do

• Own end-to-end technical strategy for customer accounts from discovery through production deployment and consumption growth.
• Lead complex architecture discussions and design scalable, production-grade solutions spanning data engineering, ML/AI, real-time analytics, streaming, lakehouse patterns, and cloud-native platforms.
• Advise customer architects, engineering leads, and Directors on technical strategy and trade-offs.
• Drive competitive technical wins through custom-built Databricks solutions and platform adoption.
• Develop an emerging technical specialization and become a go-to resource for the team.
• Coordinate DSAs, SSAs, and partners, while providing structured feedback on customer requirements and competitive gaps.

Requirements

• 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role.
• Strong coding proficiency in Python and SQL, including live coding, debugging, and solution building.
• Deep expertise in distributed data systems architecture, including scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms.
• Proficiency with the Databricks Platform, or the ability to achieve proficiency rapidly, with a developing specialization in one area such as real-time/streaming, ML/AI, data governance, or migrations.
• Experience leading architecture discussions with senior technical stakeholders, including whiteboarding, design reviews, and trade-off analysis.
• Experience with production deployments on AWS, Azure, or GCP, including infrastructure, security, and governance considerations.
• Track record of driving platform adoption and consumption growth within accounts.
• Excellent communication skills, including the ability to translate complex architectures into business value for technical and executive audiences.
• Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline, or equivalent experience.

Nice to have

• Databricks certifications in Data Engineering, ML, or Platform.
• Experience with Snowflake, AWS native services, or Azure Synapse.
• Background in a data/AI company or cloud provider.
• Industry expertise in areas such as Financial Services, Healthcare, Retail, or Media.

Culture & Benefits

• Comprehensive benefits and perks, with details varying by region.
• Inclusive hiring practices and an environment where individuals can excel.
• Potential eligibility for an annual performance bonus and equity in addition to base compensation.

Hiring process

• Recruiter screen followed by a hiring manager screen.
• Design and architecture interview, live coding assessment, and Build, Demo, Pitch presentation.
• Reference check.