Resident Solutions Architect-Manufacturing
Databricks10 months ago
Base Salary
$161k - $226k/yr
Responsibilities
- Deliver customer technical projects involving reference architectures, how-to documentation, and productionization of customer use cases.
- Scope professional services engagements with engagement managers and customers.
- Guide strategic customers through big data transformations, third-party migrations, and end-to-end data and AI application delivery.
- Consult on architecture and design and implement Databricks-based customer projects.
- Provide escalated support for customer operational issues.
- Collaborate with technical, project management, architecture, customer, engineering, and support teams to deliver engagements and resolve issues.
- Provide product and implementation feedback to Databricks Engineering and Customer Support.
Requirements
- At least 6 years of experience in data engineering, data platforms, and analytics.
- Ability to write code in Python or Scala.
- Working knowledge of at least two cloud ecosystems—AWS, Azure, or GCP—with expertise in at least one.
- Deep experience with distributed computing using Apache Spark and knowledge of Spark runtime internals.
- Working knowledge of MLOps and production deployment practices.
- Experience designing and deploying performant end-to-end data architectures.
- Experience delivering technical projects, including managing scope and timelines.
- Strong documentation, whiteboarding, client management, and conflict resolution skills.
- Ability to travel up to 30% when needed.
Benefits
- Comprehensive benefits and perks, with details varying by region.
- Travel of up to 30% when needed.
- Annual performance bonus and equity may be included in the total compensation package.
Tech Stack
Categories
Solutions Engineering
About Databricks
Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.