Delivery Solutions Architect - Startups & Emerging Enterprise

United States Digital Space LLC; United States; Hybrid; USD 180,000 - 247,500; Full time

Job summary

United States Digital Space LLC is looking for a Delivery Solutions Architect to empower customers through our Data Intelligence Platform. This hybrid role blends technical expertise and commercial acumen, ensuring our customers maximize their investment and success with the platform.

You will collaborate closely with sales and field engineering teams, develop strategies for customer success, and lead complex technical projects. Ideal candidates should have 5+ years of relevant experience, strong programming skills, and the ability to foster executive relationships.

Qualifications

• 5+ years of technical project/program delivery experience.
• Programming skills in Python, SQL or Scala.
• Experience in customer-facing roles, such as pre-sales or consulting.

Responsibilities

• Engage with Solutions Architects to understand use case plans.
• Lead account strategy and execution plan for technical wins.
• Serve as the technical lead for post-sale customer onboarding.

Skills

Technical project / program delivery

Programming in Python, SQL, or Scala

Customer-facing pre-sales or consulting

Solution architecture for distributed data systems

Technical program management

Conducting discovery workshops

Understanding business value attribution

Education

Bachelor's degree in Computer Science or equivalent

Job description

At the company, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the 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 the company platform with Startup and Emerging Enterprise customers. You will also help ensure customer success by helping our most complex customers maximize the value they get out of our platform and their 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 by 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. It is technical in the sense that you will serve as the post‑sale technical lead across all the company products. This requires you to use your skills and technical credibility to engage and communicate at all levels within 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 prioritized customers
• Lead the post‑technical‑win account strategy and execution plan for the majority of the company use cases within our most strategic accounts
• Be the accountable technical leader for specific use cases and customers across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, go‑live, and healthy consumption of the workloads the customer has chosen to run on the company
• Be the first contact for any technical issues or questions related to production/go‑live status of agreed upon use cases within an account, often spanning multiple use cases within the largest and most complex organizations
• Leverage Shared Services, User Education, Onboarding/Technical Services, and Support resources, and escalate to subject matter experts when work falls beyond your scope or expertise
• Create, own, and execute a point of view on how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Partner with the company Product and Engineering teams on new product innovations, private previews, and upgrades
• Develop an execution plan spanning all customer‑facing technical roles and teams across the following 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 to your Technical GM — KPI reporting on usage and customer health, covering investment status, key risks, product adoption, and use case progression

What we look for

• 5+ years of experience accountable for technical project / program delivery in Data and AI, with the ability to contribute to technical debate and design choices alongside 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 for distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverable
• Technical program or project management, including accountability for accounts, stakeholders, and resources
• Experience resolving complex, high‑stakes escalations with senior customer executives
• Experience conducting open‑ended discovery workshops, creating strategic roadmaps, conducting business analysis, and managing delivery of complex programs/projects
• Track record of overachievement against quota, goals, or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent practical 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.

$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 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.

Benefits

At the company, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At the company, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care