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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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5+ years of experience in the data space with a technical product (i.e. data warehousing, big data, machine learning, or more recently with generative AI). You will lead and promote a dynamic team focusing on enterprise software, big data/analytics, data engineering, data science, data warehousing and generative AI. Leading the technical, split-focused team (70% pre-sales, 30% technical acumen/demonstrations), you will partner with Sales (and other Field Engineering technical segments) to increase revenue and help customers become wildly successful.
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Preferred] Experience working with Apache Spark™ to process large-scale distributed datasets. [Preferred] 2+ years customer-facing experience in a pre-sales or post-sales role. Passion for collaboration, life-long learning, and driving our values through ML.
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Proven experience building and leading technical pre(or post)-sales teams - hiring, on-boarding, and enabling pre(or post)-sales professionals. You will make sure that your team is continuously learning and working to provide our customers with the most comprehensive solutions for their needs.
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Reporting to a Director of Field Engineering, the Manager, Solutions Architects (SAs) will help lead a team of SAs for the Financial Services segment of Databricks’ Field Engineering team. Must be technical enough to earn the trust of Engineering talent and leadership at Databricks.
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As a Specialist Solutions Architect (SSA), you will be the trusted technical ML expert to both Databricks customers and the Field Engineering organization. Provide advanced technical support to Solution Architects during the technical sale ranging from feature engineering, training, tracking, serving to model monitoring all within a single platform, and participating in the larger ML SME community in Databricks.
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You'll scale and maintain an outstanding Field Engineering team that is efficient in its operations to help accelerate Databricks' growth in the market. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
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At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. Databricks is committed to fair and equitable compensation practices. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
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Collaborate with the product and engineering teams to represent the voice of the customer, define priorities and influence the product roadmap, helping with the adoption of Databricks’ ML offerings.
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You have expertise in Data Science, Machine Learning, Generative AI, NLP and Computer Vision and expertise in using PySpark and SQL. You will excel in distilling product features into a compelling value proposition and enabling Account Executives and Field Engineers to communicate the value in a way through content and demonstrations.
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Experience: 5+ years in the data space with a technical product, such as data warehousing, big data, or machine learning. As a Solutions Architect Manager, you will play a pivotal role in leading a high-performing team of pre-sales Solutions Architects, specializing in complex, growth accounts within the Retail & Consumer Goods sector.
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