Senior Solutions Engineer - Games
Senior Solutions Engineer focused on leading customer discovery, designing data and AI architectures, and delivering Databricks proofs of concept and demonstrations. Requires at least four years of relevant experience, strong Python and SQL skills, public-cloud expertise, and customer-facing technical leadership.
About the job
Responsibilities
- Lead technical discovery and solution design for customer workloads spanning data engineering, analytics, and machine learning.
- Build and deliver proofs of concept and live demonstrations on the Databricks Platform.
- Own technical relationships with customer engineers, data teams, and technical leads.
- Develop account-level technical strategies with Account Executives to grow platform consumption.
- Articulate platform differentiation through hands-on demonstrations and competitive evaluations.
- Contribute reusable notebooks, solution accelerators, and reference architectures.
Requirements
- 4+ years of experience in data engineering, solutions architecture, technical pre-sales, or hands-on consulting.
- Proficiency in Python and SQL, including debugging, optimization, and production-quality code.
- Experience designing and implementing data solutions on at least one public cloud platform: AWS, Azure, or Google Cloud.
- Working knowledge of distributed data systems such as Apache Spark, Delta Lake, Hadoop, Kafka, or Flink.
- Experience leading technical customer conversations, including discovery, whiteboarding, and architecture reviews.
- Familiarity with data engineering, data science and machine learning, or SQL analytics.
- Strong presentation and demonstration skills.
- Bachelor's or master's degree in Computer Science, Engineering, or a quantitative discipline, or equivalent experience.
Nice to Have
- Databricks certification or experience with the Databricks Platform.
- Experience with Unity Catalog, Lakeflow Spark Declarative Pipelines, or MLflow.
- Background at a data or AI company, cloud provider, or technical consulting firm.
Compensation
- Annual salary range: $152,300–$209,450 USD.
- Additional compensation may include an annual performance bonus, equity, and benefits.
Skills
Python, SQL, AWS, Azure, GCP, Spark, Delta Lake, Hadoop, Kafka, Flink, Databricks, Unity Catalog, MLflow, MLOps
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