Resident Solutions Architect - Digital Native Business
Databricks5 months ago
Base Salary
$181k - $248k/yr
Responsibilities
- Design and build reference architectures, implementation guides, and productionized customer use cases.
- Guide strategic customers through transformational big data projects, migrations, and end-to-end design, development, deployment, and operationalization of data and AI applications.
- Architect, develop, deploy, operationalize, and document complex customer engagements as a technical lead.
- Integrate Databricks-based solutions with customer systems and provide hands-on implementation, training, and knowledge transfer.
- Facilitate technical workshops, discovery and design sessions, customer requirements gathering, project scoping, and effort estimation.
- Provide escalated support for customer operational issues and help resolve engagement-specific product and implementation issues with Engineering and Customer Support.
- Ensure Databricks best practices and quality-of-service standards are followed across projects.
- Mentor team members, customers, and partners and create reusable project artifacts.
Requirements
- At least 4 years of experience in data engineering, data platforms, and analytics; alternate versions of the posting request 6+ or 9+ years.
- Proficiency with Python and/or Scala, including object-oriented and functional programming.
- Working knowledge of at least two cloud ecosystems among AWS, Azure, and GCP, with expertise in at least one.
- Strong or deep experience with distributed computing using Apache Spark and familiarity with Spark runtime internals.
- Experience designing and deploying performant end-to-end data architectures, including scalable cloud-native batch and streaming solutions.
- Familiarity with CI/CD for production deployments and working knowledge of MLOps.
- Experience delivering technical projects, managing scope and timelines, and working with clients and conflicts.
- Strong documentation, whiteboarding, workshop facilitation, requirements gathering, and technical communication skills.
- Databricks Certification is preferred or listed as a desired qualification.
- Ability to travel to customers approximately 20% of the time.
Benefits
- Comprehensive regional benefits and perks are available; specific details are provided through Databricks' benefits portal.
- The role requires approximately 20% travel to customers.
- The position is customer-facing and part of the Professional Services team.
Tech Stack
Categories
Data EngineeringSolutions 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.