Delivery Solutions Architect - Data & Analytics @ Databricks | Jobright.ai
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Databricks · 9 hours ago

Delivery Solutions Architect - Data & Analytics

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Responsibilities

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 Databricks 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 Databricks
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
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 Databricks 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 Databricks’ 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

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Technical project deliveryPythonSQLScalaSolution architectureCustomer successBusiness analysisStakeholder managementProject managementKPI reportingAI domainOpen-ended discovery workshopsStrategic roadmapsComplex program delivery

Required

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 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 resolving complex and important escalation 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

Benefits

Eligibility for annual performance bonus
Equity
Comprehensive benefits and perks

Company

Databricks

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Databricks is an AI cloud data platform that interacts with corporate information stored in the public cloud.

H1B Sponsorship

Databricks has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (177)
2022 (238)
2021 (193)
2020 (79)

Funding

Current Stage
Late Stage
Total Funding
$4B
Key Investors
Counterpoint GlobalFranklin TempletonAndreessen Horowitz
2024-02-27Series Unknown· undefined
2023-09-14Series I· $500M
2023-07-31Secondary Market· undefined

Leadership Team

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Ali Ghodsi
Co-founder & CEO
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Arsalan Tavakoli-Shiraji
Co-Founder and SVP of Field Engineering
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Company data provided by crunchbase
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