Delivery Solutions Architect
3 weeks ago
Delivery Solutions Architect
(DSA) for the team in India, you will play an important role during this journey. You will collaborate with our field engineering teams to
accelerate the adoption and growth of the Databricks platform
in your accounts. 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.This is a hybrid technical and commercial role. It is commercial in the sense that you will own and drive growth in your assigned customers and use cases through leading your customers’ stakeholders, owning executive relationships 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 organization. This individual can be based either in
Bengaluru / Mumbai / Delhi.The impact you will have: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 consume Databricks.You will engage with the Solutions Architect to understand the full Use Case Demand Plan for prioritised customers.Lead the
Post-Technical Win
technical account strategy and investment plan for the majority of Databricks Use Cases within our most strategic accounts.You will be the first 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.Create, own and execute a point-of-view as to how key use cases can be accelerated into production, bringing EM/PM in to prepare Professional Services proposals.Navigate Databricks Product and Engineering teams for New Product Innovations, Private Previews and Upgrade needs.Develop mutual success plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams: Main use cases moving from ‘win’ to productionEnablement / user growth planProduct adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)Organic needs for current investment Eg. Cloud Cost control, Tuning & OptimizationExecutive and operational governanceProvide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM.What we look for:8+ years of experience
where you have been accountable for technical project / program delivery within the domain of
Data and AI
and where you can contribute to technical debate and design choices with our customers.Extensive
Big Data / Data Engineering
experienceExperience working on
AWS / GCP / AzureExperience working on Databricks is a plusProgramming experience in Python, SQL or ScalaExperience in a customer-facing pre-sales / technical architecture / customer success, or consulting roleUnderstanding of solution architecture related distributed data systemsTechnical program, or project management including account, stakeholder and resource management accountabilityExperience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projectsBenefitsBenefits allowanceEmployee's Provident FundEquity awardsGym reimbursementAnnual personal development fundWork headphones reimbursementBusiness travel insurancePaid Parental Leave
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