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DatabricksDatabricksUnited States

Solutions Architect - Real Money Gaming

Leads customer technical strategy and designs production-grade data, AI, and real-time analytics solutions on Databricks. Requires 6+ years of relevant experience, strong Python and SQL skills, cloud deployment expertise, and the ability to advise senior technical stakeholders.

Salary not listed
Remote6+ YOESolutions Architecture

About the role

Responsibilities

  • Own the end-to-end technical strategy for 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 through custom-built solutions.
  • Develop and declare an emerging technical specialization, becoming a go-to resource for the team in that domain.
  • Orchestrate cross-functional resources, including DSAs, SSAs, and partners, to deliver comprehensive solutions.
  • Influence product direction by providing structured feedback on customer requirements and competitive gaps.

Requirements

  • 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role.
  • Strong coding proficiency in Python and SQL, including live coding, debugging, and solution building.
  • Deep expertise in distributed data systems architecture, including scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms.
  • Proficiency with the Databricks Platform or the ability to achieve proficiency rapidly, with a developing specialization in areas such as real-time/streaming, ML/AI, data governance, or migrations.
  • Experience leading architecture discussions with senior technical stakeholders, including whiteboarding, design reviews, and trade-off analysis.
  • Experience with production deployments on public cloud, including infrastructure, security, and governance considerations.
  • Track record of driving platform adoption and consumption growth within accounts.
  • Excellent communication skills, with the ability to translate complex architectures into business value for technical and executive audiences.
  • Ability to travel to customers 30% of the time.
  • Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline, or equivalent experience.

Nice to Have

  • Databricks certifications in data engineering, ML, or platform technologies.
  • Experience with Snowflake, AWS native services, or Azure Synapse.
  • Background in a data/AI company or cloud provider.
  • Industry domain expertise in financial services, healthcare, retail, media, or related fields.

Interview Process

  • Recruiter screen
  • Hiring manager screen
  • Design and architecture interview
  • Live coding assessment
  • Build, demo, and pitch presentation
  • Reference check

Skills

PythonSQLDatabricksData EngineeringMachine Learningartificial intelligencereal-time analyticsstreaming architectureslakehouseAWSmicrosoft azureGCPSnowflakeazure synapse
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