Delivery Solutions Architect - Financial Services

Databricks; Massachusetts; Hybrid; USD 180,000 - 247,500; Full time

Benefits offered by this job

Eligible for annual performance bonus

Equity options

Comprehensive benefits package

Job summary

Databricks is hiring a Delivery Solutions Architect to empower customers with the Databricks Data Intelligence Platform. In this hybrid role, you will collaborate with sales teams and customers, ensuring success through effective technical leadership.

The ideal candidate will have 7+ years in technical project delivery, programming skills in Python, SQL, or Scala, and the ability to manage relationships with complex stakeholders. The position promises a compelling pay range of $180,000 – $247,500 USD with comprehensive benefits.

Qualifications

• Proven ability in leading technical projects and contributing to design choices.
• Experience in customer-facing technical roles required.
• Ability to manage stakeholders and resources effectively.

Responsibilities

• Engage with customers to accelerate usage of Databricks workloads.
• Lead technical account strategy for key customer accounts.
• Provide updates on usage and customer health to your Technical GM.

Skills

Programming experience in Python, SQL or Scala

7+ years of technical project delivery experience

Understanding of solution architecture related to distributed data systems

Technical program or project management

Experience conducting business analysis

Education

Bachelor’s degree in Computer Science, Information Systems, Engineering

Job description

CSQ227R17

At Databricks, we are on a mission to empower our customers to solve the world’s toughest data problems by utilizing 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. 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 Databricks workloads that they have already selected, helping them maximize 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, 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 organization. You will report directly to a DSA Manager within the Field Engineering organization.

Impact you will have

• Engage with Solutions Architects to understand the full use case demand plan for prioritized 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, often 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 following 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

• 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

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. For this role, the pay range is $180,000 – $247,500 USD, representing the expected salary range for non‑commissionable roles or on‑target earnings for commissionable roles. The total compensation package may also include eligibility for an annual performance bonus, equity, and the benefits listed above.

Benefits

At Databricks, 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, please visit https://www.mybenefitsnow.com/databricks.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio‑economic status, veteran status, and other protected characteristics.

Compliance

If access to export‑controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.