Solutions Architect - Games
New
D
DatabricksData and AI
This is a remote position, but candidates must currently reside in California, Arizona, Oregon, or Washington.Full-TimeSenior
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 engineeringDatabricks
Requirements
- Have 6+ years of experience in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role.
- Demonstrate strong coding proficiency in Python and SQL, 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 specialization in an area such as streaming, ML/AI, data governance, or migrations.
- Have experience leading 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.
- Be able to translate complex architectures into business value for technical and executive audiences.
- Have a bachelor's or master's degree in Computer Science, Engineering, or a quantitative discipline, or equivalent experience.
- Databricks certifications in Data Engineer, ML, or Platform are a nice to have.
- Experience with Snowflake, AWS native services, or Azure Synapse is a nice to have.
Responsibilities
- Own end-to-end technical strategy for customer accounts, from initial discovery through production deployment and consumption growth.
- Lead architecture discussions and design scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics.
- Advise customer architects, engineering leads, and directors on technical decisions.
- Demonstrate Databricks' differentiation through custom-built solutions in competitive scenarios.
- Develop a technical specialization and become a go-to resource for the team 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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