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Resource management infrastructure powering the big data and machine learning workloads on the Databricks platform in a scalable, secure, and cloud-agnostic way. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
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Technical in big data, data science and cloud. Working with the Enterprise Account Executive (AE), the Enterprise SA defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML & AI. You will lean upon your solid background in value selling, technical account management and technical leadership to maximize success in these accounts.
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Familiarity with big data technologies such as Apache Spark, Delta Lake, and MLflow is a plus. The Mosaic AI team at Databricks is seeking a talented Senior Technical Program Manager (TPM) with a strong background in resource management, forecasting, capacity and strategic planning to join our team.
Full-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Apache Spark : Develop the de facto open source standard framework for big data. Experience with distributed systems, databases, and big data systems (Apache Spark, Hadoop.
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At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs.
$213,800 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Become a technical expert in an area such as data lake technology, big data streaming, big data ingestion and workflows, as well as cloud platforms, automation, security, networking, or identity management.
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Software Engineering/Data Engineering: data ingestion, streaming technologies - such as Spark Streaming and Kafka, performance tuning, troubleshooting, and debugging Spark or other big data solutions.
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Security: Platform security, Network security, Data Security, Gen AI & Model Security, Encryption, Vulnerability Management, Compliance. 2 years of professional experience with Big Data technologies (Ex: Spark, Hadoop, Kafka) and architectures.
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Databricks is the data and AI company. We are looking for experienced pre-sales professionals who have a successful track record helping large enterprises become more data-driven.
$299,000 a yearFull-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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Experience scaling big data workloads (such as ETL) that are performant and cost-effective. Extensive experience building big data pipelines. You will be in a customer-facing role, working with and supporting Solution Architects, that requires hands-on production experience with Apache Spark™, and expertise in other data technologies and in public cloud - AWS, Azure, and GCP. SSAs help customers through the design and successful implementation of essential workloads while aligning their technical roadmap for expanding the usage of the Databricks Platform.
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