Solutions Architect - Communications, Media, Entertainment and Games
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
Technologies
Databricks · Spark · Delta Lake · MLflow · Python · Java · Scala · Hadoop · NoSQL · MPP
About Databricks
Unified Data Intelligence Platform (lakehouse + Mosaic AI) used by 10,000+ orgs and 50%+ of the Fortune 500 for ETL, BI, ML, and GenAI.
Private Late
Job description
The full responsibilities and requirements are on the employer’s site.
Read the job description ↗Source and classification
Technical pre-sales · Evidence for this classification:
FEQ227R273 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. #CMEG As a Solutions Architect, you will lead the technical strategy for your customers — owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy. You are developing a technical specialization (archetype) and are recognized within your team for depth in a specific domain. The Impact You Will Have Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth Lead complex architecture discussions — designing scalable, production-grade solutions spanning data
More from the job description
FEQ227R273 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. #CMEG As a Solutions Architect, you will lead the technical strategy for your customers — owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy. You are developing a technical specialization (archetype) and are recognized within your team for depth in a specific domain. The Impact You Will Have Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth Lead complex architecture discussions — designing 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 specialization (archetype) — becoming a go-to resource for your team in that domain Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex custome [... source excerpt omitted ...] overnance, migrations) Proven ability to lead architecture discussions with senior technical stakeholders — whiteboarding, design reviews, and trade-off analysis Experience with production deployments on public cloud (AWS, Azure, or GCP), including infrastructure, security, and governance considerations Track record of driving platform adoption and consumption growth within accounts Excellent communication skills — able to translate complex architectures into business value for both 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 (
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