Manager, Delivery Solutions Architects
About this role
This role is ideal for an experienced technical leader who thrives on building strategic technical direction while also deeply investing in the growth of their team. The Manager, Delivery Solutions Architects at Databricks will be central to ensuring the post-sales success of the company's customers. This involves setting the technical strategy across a portfolio of accounts and acting as a hands-on technical sponsor for key customers, including their C-suite. The focus is on translating complex Data and AI use cases into successful production deployments.
The individual will be responsible for establishing the operational cadences, processes, and playbooks that elevate the entire Delivery Solutions Architect practice. This role requires a blend of technical depth, business acumen, and strong people management skills. It exists to bridge the gap between technical delivery and customer outcomes, ensuring that the solutions being deployed rapidly transform how businesses operate with data and AI.
Success in this role is measured by driving tangible customer results, such as increased use-case throughput and faster time-to-production. It is suited for someone who possesses a strong bias toward building scalable systems and a dedication to developing senior technical talent.
What you will do
- Build and lead a team of Delivery Solution Architects responsible for post-sales customer success.
- Set the technical strategy across the portfolio of customers to guide solution delivery.
- Partner with Sales, Pre-Sales, Professional Services, and the Systems Integrator ecosystem to move use cases from initiation to production.
- Act as a hands-on technical sponsor and trusted advisor to select customers, including C-suite executives.
- Develop systems, operating cadences, and playbooks to enhance the performance of the DSA practice.
- Hire, coach, and develop the team, owning career growth and calibrated performance management.
- Own capacity planning and investment forecasting for the FINS portfolio.
- Defend investment decisions using data alongside sales and field leadership.
- Drive measurable customer outcomes such as use-case throughput, time-to-production, consumption growth, and renewal rates.
What you need
- Possess at least five years of experience managing a customer-facing technical team, such as a DSA, Solution Architect, or Technical Account Manager.
- Demonstrated experience leading pre-sales or post-sales technical talent is required.
- Must have a track record of successfully putting Data and AI workloads into production at scale, such as through roles like a delivery architect or DevOps engineer.
- Should be conversant with business problems and Data and AI use cases, with experience in financial services (banking, capital markets, insurance, or asset management preferred).
- A fundamental bias for building systems rather than simply operating existing ones is necessary.
- A strong bias for growing people, rather than just managing them, is also required.
- A Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent work experience is required.
Nice to have
- Experience with Databricks platform components (Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, Unity Catalog)
Benefits
- Comprehensive benefits and perks are provided.
Skills and tech stack
Questions candidates ask
What is the remote policy?
The posting does not explicitly detail the remote work policy for this role.
What is the compensation structure?
The posting does not provide specific salary details for this role.
What is the technology stack involved?
The technology stack includes Databricks components such as Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog.
What is the team structure like?
The role involves building and leading a team of Delivery Solution Architects, who are senior technical talent drawn from principal-level solution architecture, top-tier consulting, or senior engineering backgrounds.
How is performance managed?
The role involves owning calibrated performance management and individual development plans for the team members.