Specialist Solutions Architect - Data Intelligence Platform

As a Specialist Solutions Architect (SSA) Data Intelligence Platform you will guide partners in building big data solutions on Databricks that span a large variety of use cases. You will be in a partnerfacing role working with and supporting our field Solution Architects and partner teams that requires handson production experience with SQL Apache Spark and expertise in other data technologies. SSAs help partners build capabilities for design and successful implementation of essential workloads while aligning their technical roadmap for expanding the usage of the Databricks Intelligence Platform. As a deep gotoexpert reporting to the Field Engineering Leadership you will continue to strengthen your technical skills through mentorship learning and internal training programs and establish yourself in an area of specialty whether that be data governance data science machine learning streaming performance tuning industry expertise or more.

The impact you will have:

• Provide technical leadership to guide strategic partners to successful implementations on big data projects ranging from architectural design to data engineering to model deployment
• Architect production level data pipelines including endtoend pipeline load performance testing and optimization
• Become a technical expert in an area such as data lake technology big data streaming or big data ingestion and workflows
• Assist Solution Architects with aspects of the technical sale as they work alongside partners including customizing proof of concept content estimating workload sizing and custom architectures
• Provide tutorials and training to improve partner community adoption (including hackathons and conference presentations)
• Contribute to the Databricks Community

What we look for:

• • 5 years experience in a technical role with expertise in at least one of the following:
    • Software Engineering/Data Engineering: data ingestion streaming technologies such as Spark Streaming and Kafka performance tuning troubleshooting and debugging Spark or other big data solutions.
    • Data Applications Engineering: Build use cases that use data such as risk modeling fraud detection partner lifetime value.
    • Data Science or Machine Learning Ops: Design and build of production infrastructure model management and deployment of advanced analytics that drives measurable business value (ie. getting models running in production).
  • Must be able to work collaboratively and independently to achieve outcomes supporting gotomarket priorities and have the interpersonal savvy to influence both partners and internal stakeholders without direct authority
  • Deep Specialty Expertise in at least one of the following areas:
    • Expertise in data governance systems and solutions that may span technologies such as Unity Catalog Alation Collibra Purview etc.
    • Experience with highperformance production data processing systems (batch and streaming) on distributed infrastructure.
    • Experience building largescale realtime stream processing systems; expertise in highvolume highvelocity data ingestion change data capture data replication and data integration technologies.
    • Experience migrating and modernizing Hadoop jobs to public cloud data lake platforms including data lake modeling and cost optimization.
    • Expertise in cloud data formats like Delta and declarative ETL frameworks like DLT.
    • Expertise in building GenAI solutions such as RAG Finetuning or Pretraining for custom model creation.
  • Bachelors degree in Computer Science Information Systems Engineering or equivalent experience through work experience.
  • Maintain and extend production data systems to evolve with complex needs.
  • Production programming experience in SQL and Python Scala or Java.
  • Experience with the AWS Azure or GCP clouds.
  • 3 years professional experience with Big Data technologies (Ex: Spark Hadoop Kafka) and architectures
  • 3 years with system integration partner or customerfacing experience in a presales or postsales role (consultant working for a partner)
  • Can meet expectations for technical training and rolespecific outcomes within 6 months of hire
  • This role can be remote but we prefer that you will be located in the job listing area and can travel up to 30 when needed.

Required Experience:

Unclear Seniority