Big Data Manager, Professional Services

August 22

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Databricks

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Artificial Intelligence • Enterprise • SaaS

Databricks is a data and AI company that provides a unified platform for data engineering, machine learning, and analytics. It focuses on optimizing big data processing and helps organizations leverage Apache Spark to deliver deeper insights and powerful data-driven applications. Databricks also offers robust tools and seamless integration for machine learning operations.

1001 - 5000 employees

Founded 2013

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

💰 $1.6G Series H on 2021-08

📋 Description

• As a Big Data Manager in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will 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. • You will work on a variety of impactful customer technical Big Data projects which may include building reference architectures, how-to's and production grade MVPs • 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 • Consult on architecture and design; bootstrap or implement strategic customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. • Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. • 10+ years experience with Big Data Technologies such as Apache Spark™ Kafka, Cloud Native and Data Lakes in a customer-facing post-sales, technical architecture or consulting role • 4+ years of people management experience , managing a team of Data Engineers , Data Architects etc • 6+ years of experience working on Big Data Architectures independently • Experience working across Cloud Platforms (GCP / AWS / Azure) • Experience working on Databricks platform is a plus • Documentation and white-boarding skills. • Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.

🎯 Requirements

• 10+ years experience with Big Data Technologies such as Apache Spark™ Kafka, Cloud Native and Data Lakes in a customer-facing post-sales, technical architecture or consulting role • 4+ years of people management experience , managing a team of Data Engineers , Data Architects etc • 6+ years of experience working on Big Data Architectures independently • Experience working across Cloud Platforms (GCP / AWS / Azure) • Experience working on Databricks platform is a plus • Documentation and white-boarding skills. • Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.

🏖️ Benefits

• Competitive salary • Flexible working hours • Professional development budget • Home office setup allowance • Global team events