Solutions Architect – Games

This is a fully remote position, open to applicants in California.

📋 Description

• Take ownership of the complete technical strategy for client accounts, from initial exploration to production deployment and growth in consumption.

• Facilitate intricate architectural discussions and design scalable, production-ready solutions encompassing data engineering, ML/AI, and real-time analytics.

• Act as a reliable technical advisor for customer architects, engineering leaders, and Directors.

• Achieve technical victories in competitive scenarios by creating custom solutions that showcase Databricks' unique advantages.

• Establish and declare an emerging technical specialization, becoming a key resource for the team.

• Coordinate DSAs, SSAs, and Partners to provide comprehensive solutions for intricate customer requirements.

• Offer structured feedback on customer needs and competitive shortcomings to guide product development.

• Engage in interviews for recruiters, hiring managers, design and architecture, live coding, build/demo/pitch, and reference checks.

⛳️ Requirements

• Must currently reside in California; applicants should be based in California.

• At least 6 years of experience in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical position.

• Strong coding skills in Python and SQL, including live coding, debugging, and building solutions.

• In-depth knowledge of distributed data systems architecture, scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms.

• Proficient in the Databricks Platform or capable of quickly achieving proficiency.

• Developing technical expertise in a specific area, such as real-time/streaming, ML/AI, data governance, or migrations.

• Capacity to lead architecture discussions with senior technical stakeholders, including whiteboarding, design reviews, and trade-off analysis.

• Proven experience with production deployments on AWS, Azure, or GCP, covering infrastructure, security, and governance.

• Demonstrated history of driving platform adoption and growth in consumption within accounts.

• Ability 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 field, or equivalent experience.

• Databricks certifications are advantageous.

• Experience with Snowflake, AWS native services, or Azure Synapse is a plus.

• Background in a data/AI company or cloud provider is a plus.

• Industry domain knowledge is a plus.

🏝️ Benefits

• Eligibility for annual performance bonuses.

• Eligibility for equity.

• Comprehensive benefits and perks, with region-specific details provided by Databricks.