Job details

Senior Delivery Solutions Architect

[CSQ126R99]

Note: Location for the role must be in Paris (or within a daily commutable distance for hybrid schedule).

At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Senior 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 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 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 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

What we look for:

Track record of successfully managing technical project / program delivery within the domain of Data and AI where you contribute to technical debate and design choices with customers
Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
Understanding of solution architecture related distributed data systems
Programming experience in Python, SQL or Scala
Understanding of how to attribute business value and outcomes to specific project deliverables
Experience resolving complex and important escalation with senior customer executives
Technical program, or project management including account, stakeholder and resource management accountability; Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
Can travel up to 30% when needed

#LI-hybrid

About Databricks

Databricks 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 Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks 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. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

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.

Average salary estimate

$125000 / YEARLY (est.)

min

max

$100000K

$150000K

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What You Should Know About Senior Delivery Solutions Architect, Databricks

Join Databricks in Paris as a Senior Delivery Solutions Architect and play a pivotal role in transforming how customers solve their toughest data challenges! In this hybrid position, you'll work closely with sales and field engineering teams to drive the adoption of the Databricks Data Intelligence Platform, enhancing customer success by providing technical guidance to some of our most complex clients. With your background in data and AI, you'll optimize the journey from technical win to production, ensuring that our clients maximize their return on investment. Your ability to foster executive relationships and develop strategic plans will be instrumental in driving usage of Databricks products. You'll be the go-to technical lead for multiple projects, orchestrating a team to ensure smooth onboarding and healthy workload consumption. This is not just about being technical; it's about showcasing your skills to create certainty in uncertain situations and successfully navigating challenges. You will have the chance to influence project direction, engage with various teams, and develop execution plans that focus on product adoption, cost control, and customer health. We want someone with a rich experience in managing complex projects, a keen understanding of solution architecture, and the ability to communicate effectively across levels. At Databricks, you'll not only work on exciting technologies but also be part of a diverse and inclusive culture that's passionate about data and AI. If you're ready to take the next step in your career and make an impact, we’re excited to hear from you!

Frequently Asked Questions (FAQs) for Senior Delivery Solutions Architect Role at Databricks

What responsibilities does a Senior Delivery Solutions Architect at Databricks have?

As a Senior Delivery Solutions Architect at Databricks, your primary responsibilities include leading the post-technical win strategy and execution plan for key customers, driving product adoption, and ensuring customer success. You'll engage with teams to understand customer needs, resolve technical issues, and work towards enabling customers to fully utilize the Databricks platform. Additionally, you will create strategic plans to accelerate use cases into production, oversee technical account strategies, and report on customer health.