Solutions Architect - Games
New
D
Databricks, Inc.Data and AI
This is a remote position, but candidates must currently reside in California, Arizona, Oregon, or Washington.Full-TimeMiddle
SalaryZone 1 Pay Range $180,000 — $247,500 USD; Zone 2 Pay Range $180,000 — $247,500 USD; Zone 3 Pay Range $180,000 — $247,500 USD
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Job Details
- Experience
- 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role
- Required Skills
- AWSPythonSQLGCPAzureData engineering
Requirements
- Have 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role.
- Demonstrate strong Python and SQL proficiency, including live coding, debugging, and solution building.
- Bring deep expertise in distributed data systems architecture, including scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms.
- Be proficient on the Databricks Platform or able to achieve proficiency rapidly, with a developing technical specialization.
- Lead architecture discussions with senior technical stakeholders, including whiteboarding, design reviews, and trade-off analysis.
- Have experience with production deployments on AWS, Azure, or GCP, including infrastructure, security, and governance considerations.
- Have a track record of driving platform adoption and consumption growth within accounts.
- Hold a bachelor's or master's degree in Computer Science, Engineering, or a quantitative discipline, or have equivalent experience.
- Nice to have: Databricks Data Engineer, ML, or Platform certifications.
- Nice to have: experience with Snowflake, AWS native services, or Azure Synapse.
Responsibilities
- Own end-to-end technical strategy for accounts, from initial discovery through production deployment and consumption growth.
- Lead architecture discussions and design scalable, production-grade solutions across data engineering, ML/AI, and real-time analytics.
- Advise customer architects, engineering leads, and Directors on technical strategy.
- Demonstrate Databricks’ differentiation through custom-built solutions in competitive scenarios.
- Develop a technical specialization and serve as a team resource in that domain.
- Coordinate DSAs, SSAs, and partners to deliver solutions for complex customer needs.
- Provide structured feedback on customer requirements and competitive gaps to influence product direction.
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