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As a Delivery Solutions Architect (DSA), you will play a critical role during this journey. The DSA works across a small number of our largest or highest potential key accounts, collaborating across Databricks teams to accelerate the adoption and growth of the Databricks platform.</p>\n<p>As a DSA, you will help ensure customer success by driving focus and technical accountability to our most complex customers who need guidance to accelerate consumption on Databricks workloads that they have already selected. This is a hybrid technical and commercial role. It is commercial in the sense that you will be required to own and drive growth in your assigned customers and use cases through leading your customers&#39; stakeholders, owning executive relationships and creating and driving plans and strategies for Databricks colleagues to execute upon.</p>\n<p>This is in parallel to being technical, with expectations being that you become at least Level 200 across all Databricks products/workloads and that you become the Use Case-specific technical lead post Technical Win. 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You will play a key role in establishing the fundamental assets and best practices within the DSA team, mentoring other DSAs and wider account team members within your region, helping them develop personally, professionally and to further their careers.</p>\n<p>The impact you will have:</p>\n<ul>\n<li>Engage with the Solutions Architect to understand the full Use Case Demand Plan for prioritized customers.</li>\n<li>Own the Post-Technical Win technical account strategy and investment plan for the majority of Databricks Use Cases within our most strategic accounts.</li>\n<li>Be the accountable technical leader assigned to specific Use Cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty/ambiguity and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks.</li>\n<li>Be the first point of contact for any technical issues or questions related to production/go live status of agreed upon Use Cases within an account, oftentimes services multiple use cases within the largest and most complex organizations.</li>\n<li>Leverage both Shared Services of User Education, Onboarding/Technical Services and Support resources, along with escalating to Level 400/500 technical experts (Specialist Solution Architects and Product Specialists) to execute on the right tasks that are beyond your scope of activities or expertise.</li>\n<li>Create, own and execute a PoV as to how key use cases can be accelerated into production, bringing EM/PM in to prepare Professional Services proposals.</li>\n<li>Navigate Databricks Product and Engineering teams for New Product Innovations, Private Previews and Upgrade needs (DBR, E2 and Unity Catalog).</li>\n<li>Build and maintain an executive level as well as a detailed programme level success plan that covers all activities of Customer, PS, Partner, SSA, Product Specialist, SA to cover the below workstreams:</li>\n</ul>\n<ul>\n<li>Key use cases moving from &#39;win&#39; to production</li>\n<li>Enablement / user growth plan</li>\n<li>Product adoption (strategy and activities to increase adoption of LH vision)</li>\n<li>Organic needs for current investment Eg. 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You will develop &#39;technical champions&#39; within our top Partners, providing enablement on technical matters related to the Databricks product.</p>\n<p>Working with our partners, you will help our customers to achieve tangible data-driven outcomes through the use of our Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem.</p>\n<p>As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark, MLflow, and Delta Lake; and major public cloud infrastructure and services.</p>\n<p>The impact you will have:</p>\n<ul>\n<li>Provide partners with the level of enablement they need to assist their clients in evaluating and adopting Databricks, including hands-on Apache Spark programming and integration with the wider cloud ecosystem</li>\n</ul>\n<ul>\n<li>Engage with the partner technical community by leading workshops, seminars, and meet-ups</li>\n</ul>\n<ul>\n<li>You will be a Big Data Analytics expert on aspects of architecture and design and will share this with our partner network</li>\n</ul>\n<ul>\n<li>Show expertise by producing creative technical solutions and blog posts</li>\n</ul>\n<p>What we look for:</p>\n<ul>\n<li>8 years of customer-facing experience working with external clients or partners across a variety of industry markets</li>\n</ul>\n<ul>\n<li>Core strength in either data engineering or data science</li>\n</ul>\n<ul>\n<li>Experience demonstrating technical concepts, including presenting and whiteboarding</li>\n</ul>\n<ul>\n<li>Experience developing architectures within a public cloud (AWS, Azure, or GCP)</li>\n</ul>\n<ul>\n<li>Hands-on experience in SQL, Python, Scala, or Java</li>\n</ul>\n<ul>\n<li>Expertise in at least one of the following:</li>\n</ul>\n<ul>\n<li>Data Engineering technologies (Ex: Apache Spark, Hadoop, Kafka)</li>\n</ul>\n<ul>\n<li>Data Warehousing (Ex: SQL, OLTP/OLAP/DSS)</li>\n</ul>\n<ul>\n<li>Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, HPO)</li>\n</ul>\n<p>About Databricks</p>\n<p>Databricks is the data and AI company. More than 10,000 organisations 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.</p>\n<p>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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