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Delivery Solutions Architect - Public Sector
- New York, New York, United States
- New York, New York, United States
Über
Due to federal contract requirements and client site access obligations, U.S. citizenship is required to access classified information.
At the company, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the company Data 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 company Platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on the company workloads that they have already selected, helping them maximise the value they get from 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, orchestrating other focused/specialized teams within the company, and creating and driving plans and strategies for the company colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all the company products. This requires you to utilize your skills and technical credibility to engage and communicate effectively with all levels of an organization. You will report directly to a DSA Manager within the Field Engineering organization.
The impact you will have:
Engage with Solutions Architects to understand the full use case demand plan for prioritised customers
Lead the post-technical win technical account strategy and execution plan for the majority of the company use cases within our most strategic accounts
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 the company
Be the first contact for any technical issues or questions related to the production/go-live status of agreed-upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
Leverage both Shared Services, User Education, Onboarding/Technical Services, and Support resources, along with escalating to expert-level technical experts, to build the right tasks that are beyond your scope of activities or expertise
Create, own, and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
Navigate the company Product and Engineering teams for new product Innovations, private previews, and upgrade needs
Develop an execution 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 production
Enablement/user growth plan
Product adoption (strategy and activities to increase adoption of the company’ Lakehouse vision)
Organic needs for current investment (e.g. cloud cost control, tuning & optimization)
Executive and operational governance
Provide 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:
U.S. citizenship
7+ 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 customers
Programming experience in Python, SQL or Scala
Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
Understanding of solution architecture related to distributed data systems
Understanding of how to attribute business value and outcomes to specific project deliverables
Technical program, or project management, including account, stakeholder and resource management accountability
Experience in resolving complex and important escalations with senior customer executives
Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
Track record of overachievement against quota, Goals or similar objective targets
Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
Can travel up to 30% when needed
Pay Range Transparency The company is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, the company anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
Local Pay Range
$180,000 — $247,500 USD
About the company The company 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 company Data Intelligence Platform to unify and democratize data, analytics and AI. The company 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. To learn more, follow the company on Twitter, LinkedIn
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Sprachkenntnisse
- English
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