Delivery Solutions Architect

DATABRICKS ASIAPAC UNIFIED ANALYTICS PTE. LTD.; Singapore; Hybrid; SGD 160,000 - 230,000; Full time

Job summary

Databricks in Singapore is seeking a Delivery Solutions Architect (DSA) who will blend technical leadership with strategic account growth. You will work with sales and field engineering to accelerate adoption of the Databricks platform, focusing on complex customers and high-value workloads they have chosen.

The role requires guiding cross-functional teams, owning post-sale technical strategy, and delivering plans that drive onboarding, go-live, and sustained usage while communicating with

Qualifications

• 5+ years delivering data/AI projects and handling technical delivery.
• Programming experience in Python, SQL or Scala.
• Experience in customer-facing pre-sales, technical architecture or consulting.
• Understanding of distributed data systems and governance.
• Ability to translate business value into project deliverables.
• Experience managing stakeholders and project resources.

Responsibilities

• Collaborate with Solutions Architect to map Use Case Demand Plans for prioritized customers.
• Lead post-technical-win strategy and execution for strategic use cases across accounts.
• Serve as the accountable technical leader across multiple teams to drive onboarding, go-live and healthy consumption.
• Be the first contact for production/go-live issues related to Use Cases.
• Leverage Shared Services, Education, Onboarding, and Support to deliver tasks beyond scope.
• Create and execute a POV to accelerate Use Cases into production with PS engagement.
• Coordinate with Product and Engineering on New Product Innovations and upgrades.
• Develop an end-to-end execution plan covering all customer-facing technical roles and streams.
• Provide KPI updates and customer health status to Technical GM.

Skills

Python

SQL

Scala

Technical program management

Stakeholder management

Job description

At Databricks we are on a mission to empower our customers to solve the world's toughest data problems by utilising the the Databricks 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 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 the Sr. Manager, Field Engineering.

The impact you will have:

• 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 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.
• 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.
• 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 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.

What we look for:

• 5+ 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.
• 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