• Design and architect end-to-end solutions on Microsoft Azure, including infrastructure, data pipelines, microservices, and integrations. • Hold valid Azure certification (e.g., Azure Solutions Architect Expert) and an architect-level certification (e.g., TOGAF, or Azure Architecture certifications). • Establish and enforce technical and coding best practices across development teams, including code reviews, CI/CD pipelines, IaC (e.g., Terraform, CloudFormation), and security standards like SOC 2 compliance. • Author comprehensive technical requirement documents (TRDs), solution design documents (SDDs), and architecture diagrams to guide implementation and stakeholder alignment. • Define and champion best practices for implementation, covering scalability, performance optimization, monitoring (e.g., Azure Monitor, PagerDuty) and security (e.g., WAF/Shield). • Lead technical workshops, mentor junior architects/engineers, and conduct proof-of-concepts (POCs) • Collaborate with product managers, DevOps leads, and end clients to translate business needs into technical roadmaps, ensuring alignment with enterprise standards.

• Supporting our retail clients in the implementation and optimization of SAP Industry Cloud Solutions with a focus on retail processes • Eliciting business and technical requirements and creating solution designs • Configuring systems, conducting tests, and supporting the rollout of new processes • Contributing new ideas and monitoring trends in the SAP ecosystem (e.g., SAP S/4HANA Retail, SAP CAR, SAP BTP) • Collaborating closely with colleagues from our SAP Center of Excellence and other project teams

Role Description Solutions Architects at Databricks lead the growth of the Databricks Data Intelligence Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science, machine learning, and AI. This is a customer-facing role, where you will: - Work with customers, teammates, the product team, post-sales team, and partners to identify use cases for Databricks. - Develop architectures and solutions using our platform. - Guide customers through the implementation to accomplish meaningful outcomes for their businesses. - Build relationships with customers, identify and cultivate champions, and establish yourself as a trusted advisor. You will report to a Field Engineering Manager within the Financial Services team at Databricks. The impact you will have: - Partner with the sales team to help customers understand how Databricks can help solve their business problems. - Provide technical leadership for customers to evaluate and adopt Databricks. - Consult on big data architecture, execute proof of concepts for strategic customer projects, and validate integrations with cloud services and other 3rd party applications. - Build and present reference architectures, how-tos, and demonstrate applications for customers. - Become an expert in, and promote open source projects (Apache Spark™, Delta Lake, MLflow, and Unity Catalog) across developer communities through meetups, conferences, and webinars. - Travel to meet with customers in your territory. Qualifications - 7+ years in a customer-facing pre-sales role, or consulting role - preferably working with big-data technologies to solve data engineering and big-data analytical challenges. - Experience designing and architecting distributed data systems. - Comfortable programming in, and debugging, at least one of: Python, SQL, Scala, Java, or R. - Experience working with global system integrators, consulting organizations, or financial services technology, or financial services data providers is a positive differentiator. - Experience building solutions with public cloud providers such as AWS, Azure, or GCP. - Experience with Data Engineering technologies (Ex: Spark, Hadoop, Kafka). - Experience with Data Warehousing technologies (Ex: SQL, OLTP/OLAP/DSS). - Undergraduate degree or higher in an engineering or mathematics discipline such as Computer Science, Applied Mathematics, Electrical Engineering, etc. Requirements - Comfortable programming in, and debugging, at least one of: Python, SQL, Scala, Java, or R. - Experience designing and architecting distributed data systems. - Experience with Data Engineering technologies (Ex: Spark, Hadoop, Kafka). - Experience with Data Warehousing technologies (Ex: SQL, OLTP/OLAP/DSS). Benefits - Comprehensive benefits and perks that meet the needs of all employees. - Eligibility for annual performance bonus, equity, and other benefits.

• Driving Linode opportunities in China, Beijing as a public cloud presales engineer, supporting APJ, and leading technical sales. • Driving customer success and Linode adoption within the account team; cloud service delivery experience is beneficial. • Leading solution innovation, promoting local tech trends, and shaping the product roadmap with global managers. • Building technical thought leadership in Cloud Computing/Linode to drive Akamai's business growth. • Leading Pre-Sales SME enablement groups on Linode and public cloud technology stack.