Data Platform Solutions Architect (Professional Services) - Emerging Enterprise & DNB
Databricks9 months ago
London, United KingdomSenior
Responsibilities
- Design and build reference architectures and implement production use cases for customer data platform projects.
- Create how-to guides and other technical documentation tailored to customer needs.
- Collaborate with Engagement Managers and customers to define project scope, schedules, and deliverables.
- Guide customers through big data journeys, including legacy platform migrations and deployment of data and AI applications on Databricks.
- Advise on solution architecture, design, and implementation strategies for Databricks adoption.
- Provide advanced support and act as an escalation point for operational issues with Databricks Support and Engineering.
- Coordinate with Technical, Product Management, Architecture, and Customer Success teams to align milestones and delivery.
- Provide implementation feedback to Databricks Product and Support teams.
- Deliver billable projects according to specification while providing excellent customer service.
Requirements
- Extensive experience in data engineering, data platforms, and analytics.
- Ability to write code in Python or Scala.
- Working knowledge of at least two cloud ecosystems among AWS, Azure, and GCP, with expertise in at least one.
- Deep experience with distributed computing using Apache Spark and knowledge of Spark runtime internals.
- Familiarity with CI/CD for production deployments and working knowledge of MLOps.
- Experience designing and deploying performant end-to-end data architectures.
- Experience delivering technical projects and managing scope and timelines.
- Strong documentation and whiteboarding skills.
- Experience working with clients and managing conflicts.
- Ability to build technical solutions supporting the deployment and integration of Databricks-based solutions.
- Databricks Certification is preferred but not required.
Benefits
- Comprehensive benefits and perks are offered, with region-specific details available through Databricks' benefits site.
- The role is based in EMEA and requires travel to customers approximately 10% of the time.
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.