Solutions Architect - Strat Media

Databricks Inc.; United States; Remote; USD 180,000 - 248,000; Full time

Job summary

Databricks Inc. is seeking a senior solutions architect to own the end-to-end technical relationship with strategic media customers, from discovery through production deployment and consumption growth.

The role blends deep architecture work with strategic advisory responsibilities for senior technical stakeholders, leading cross-functional discussions across data engineering, ML/AI, and real-time analytics, and guiding customers toward scalable, secure lakehouse solutions.

Qualifications

• 6+ years in solutions architecture or senior technical roles.
• Proficiency in Python and SQL with live-coding ability.
• Deep expertise in scalable data pipelines and lakehouse patterns.
• Production deployment experience on AWS/Azure/GCP including security and governance.
• Ability to lead architecture discussions with senior stakeholders.

Responsibilities

• Own technical strategy across named accounts from discovery to deployment.
• Lead architecture discussions for scalable, production-grade solutions across data engineering, ML/AI, and real-time analytics.
• Act as trusted advisor to customer architects, engineering leads, and Directors.
• Drive technical wins in competitive scenarios with differentiated solutions.
• Develop and declare a technical specialization (e.g., streaming, ML/AI, data governance, migrations).
• Coordinate cross-functional resources and influence product direction via customer feedback.

Skills

Python

SQL

Distributed data systems

Stakeholder leadership

Live coding

Education

Bachelor's or Master's degree in Computer Science, Engineering, or quantitative discipline

Tools

AWS

Azure

GCP

Job description

Role overview

A senior solutions architecture role focused on strategic media customers, owning the end-to-end technical relationship from discovery through production deployment and consumption growth. The position combines deep architecture work with strategic advisory responsibilities for senior technical stakeholders.

Responsibilities

• Own technical strategy across named accounts, from initial discovery through production deployment and ongoing adoption
• Lead architecture discussions for scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics
• Serve as a trusted technical advisor to customer architects, engineering leads, and Directors
• Drive technical wins in competitive scenarios by demonstrating differentiated, custom-built solutions
• Develop and declare a technical specialization such as streaming, ML/AI, data governance, or migrations
• Orchestrate cross-functional resources and influence product direction through structured customer feedback

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, with the ability to demonstrate live coding and solution-building
• Deep expertise in distributed data systems, including scalable pipelines, streaming architectures, and lakehouse patterns
• Production deployment experience on AWS, Azure, or GCP, including infrastructure, security, and governance
• Proven ability to lead architecture discussions with senior stakeholders, including whiteboarding and trade‑off analysis
• Willingness to travel to customers approximately 30% of the time
• Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline, or equivalent experience

Nice to have

• Industry certifications such as Data Engineer, ML, or Platform
• Familiarity with competing platforms in the data and analytics landscape
• Industry domain expertise in media or adjacent sectors

Benefits and work setup

Listed base pay range is $180,000-$247,500 USD across geographic zones; total compensation may include performance bonus and equity.