Solutions Architect (Media, Entertainment and Agencies)
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
Funding history
Investors
About Databricks
Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will lead the technical strategy for your customers, owning architecture discussions, driving platform adoption and acting as a trusted advisor to customer technical leads and architects. You will design scalable, production-grade solutions across data engineering, ML/AI and real-time analytics, win technical deals in competitive scenarios, and build an emerging technical specialisation. You will also coordinate cross-functional resources and feed customer requirements back to influence product direction.
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 and debugging
- Deep expertise in distributed data systems architecture: scalable pipelines, streaming architectures, lakehouse patterns, cloud-native data platforms
- Proficient on the Databricks Platform (or ability to achieve proficiency rapidly) with a developing technical specialisation
- Proven ability to lead architecture discussions with senior technical stakeholders
- Experience with production deployments on public cloud (AWS, Azure, or GCP), including infrastructure, security and governance
- Track record of driving platform adoption and consumption growth within accounts
- Excellent communication skills for technical and executive audiences
- Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience)
Responsibilities
- Own the end-to-end technical strategy for your accounts, from discovery through production deployment and consumption growth
- Lead complex architecture discussions and design 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 Databricks' differentiation through custom-built solutions
- Develop and declare an emerging technical specialisation (archetype)
- Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver solutions for complex customer needs
- Influence product direction by providing structured feedback on customer requirements and competitive gaps
Hiring Process
Recruiter Screen → Hiring Manager Screen → Design and Architecture Interview → Live Coding Assessment → Build, Demo, Pitch! Presentation → Reference Check