Senior Delivery Solutions Architect

Databricks; Paris; Hybride; EUR 60 000 - 90 000; Plein temps

Résumé du poste

A leading technology company in Paris is seeking a Senior Delivery Solutions Architect to drive customer growth on the Databricks platform. This hybrid role involves collaborating with sales and engineering teams, managing technical projects, and ensuring customer success. The ideal candidate has experience in technical project management and a strong foundation in data solutions. Competencies in Python, SQL, and Scala, along with a Bachelor's in Computer Science, are required.

Qualifications

• Experience in a customer-facing pre-sales technical architecture role.
• Strong understanding of solution architecture related to distributed data systems.
• Track record of managing technical project delivery in Data and AI.

Responsabilités

• Engage with Solutions Architects to understand use case demand.
• Lead the technical account strategy and execution for strategic accounts.
• Act as the technical lead across Databricks products.

Connaissances

Programming experience in Python

SQL

Scala

Apache Hive

S3

Redshift

Spark

AWS

Solr

NoSQL

Kafka

DynamoDB

ZooKeeper

Formation

Bachelor's degree in Computer Science

Description du poste

(FEQ426R755)

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 worlds toughest data problems by utilizing 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
• Bachelors degree in Computer Science Information Systems Engineering or equivalent experience through work experience
• Can travel up to 30% when needed

Required Experience : Senior IC

Key Skills: Apache Hive, S3, Redshift, Spark, AWS, Solr, NoSQL, Data Warehouse, Internet Of Things, Kafka, DynamoDB, ZooKeeper

Employment Type : Full Time

Experience : years

Vacancy : 1