Big Data Solutions Architect

July 18

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Databricks

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Databricks is the lakehouse company$1. .$1

Apache Spark • Apache Spark Training • Cloud Computing • Big Data • Data Science

1001 - 5000

💰 $1.6G Series H on 2021-08

Description

• You will work with clients on short to medium term customer engagements on their big data challenges using the Databricks Data Intelligence Platform • Provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data • RSAs are billable and know how to complete projects according to specification with excellent customer service • You will report to the regional Manager/Lead • You will guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications

Requirements

• Proficient in data engineering, data platforms, and analytics with a strong track record of successful projects and in-depth knowledge of industry best practices • Comfortable writing code in either Python or Scala • Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one • Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals • Familiarity with CI/CD for production deployments • Working knowledge of MLOps • Design and deployment of performant end-to-end data architectures • Experience with technical project delivery - managing scope and timelines • Documentation and white-boarding skills • Experience working with clients and managing conflicts • Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects • Travel to customers 30% of the time • Databricks Certification

Benefits

• Private medical, dental and cash refunds for health expenses • Life, disability and critical illness coverage • Group personal pension with company contribution • Equity awards • Paid parental leave • Gym reimbursement • Annual personal development fund • Work headphones reimbursement • Business travel accident insurance