[Remote-Position] Delivery Solutions Architect
Join a culture of excellence and collaboration. We are looking for a Delivery Solutions Architect! This role in Remote not only offers a great job but also a vibrant community. This position requires a strong and diverse skillset in relevant areas to drive success. Your contribution will be valued, with a compensation package starting at a competitive salary.
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At Databricks we are on a mission to empower our customers to solve the world's toughest data problems by utilising the Intelligence platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. As a DSA, you will help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment.This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and... creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA manager as part of the Field Engineering organisation in Northern EMEA.
The impact you will have:
 Assist strategic customers in deploying or migrating their use cases and workloads into production on Databricks Lakehouse, leading the post-win technical account strategy/execution plan
 Be the accountable technical leader assigned to specific Use Cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to use Databricks
 Develop an execution plan that covers all activities of all customer-facing technical roles and teams
 Be the first contact for any technical challenge or questions related to production/go live status of agreed upon Use Cases in your aligned customers
 Collaborate with the User Education, Onboarding/Technical Services and Support teams, and escalate to expert level technical specialists for requests that are beyond your scope of activities or expertise. Also coordinate with Professional Services and Partners in the delivery of their projects
 Navigate Databricks Product and Engineering teams for New Product Innovations, Private Previews and Upgrades
 Provide regular internal and external updates on progress and risks/blockers to your leadership
 Contribute to the development of the DSA community and practice by sharing best practices and assets.
What we look for:
 7+ years of experience where you have been accountable for technical program delivery within the domain of Data and AI and where you can contribute to the technical debate and design choices with our customers
 Programming experience in Python, SQL or Scala
 Experience in a customer-facing pre-sales, technical architecture of distributed data systems, customer success, or consulting role
 A understanding of how to attribute business value and outcomes to specific project deliverables
 Technical program management including account, stakeholder and resource management accountability
 Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
 Continuous learning and keeping up with the fast evolution of the Databricks Lakehouse platform
 Track record of overachievement against quota, goals or similar objective targets.
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
About Databricks
Databricks is the data and AI company. 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 SparkÂ, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. 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.
We are proud supporters of Women in Data®. Connect, engage and belong to the largest free female data community in the UK  visit: www.womenindata.co.uk to join our community.
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