Solutions Engineer
hace 7 días
Seville
ppAt IBM Global Sales, we bring together innovation, collaboration, and expertise to help clients solve their most complex business challenges. Working across industries and geographies, you’ll partner with colleagues, clients, and partners to co-create solutions that drive digital transformation and lasting impact. Success in Global Sales is built on curiosity, empathy, and collaboration. You’ll connect technical understanding with strong people skills, building trusted relationships and shaping solutions that improve business and society. With world‑class onboarding, continuous learning, and a supportive culture, IBM offers the tools and opportunities to grow your career. Join us and be part of a global team that’s passionate about driving innovation and making a difference. /p h3Your Role and Responsibilities /h3 pAs an Advisory Solutions Engineer specializing in real‑time data streaming, you will serve as a premier technical advisor and trusted thought partner to our most strategic enterprise accounts. You will own the technical relationship and drive the "technical win" during critical phases of the customer lifecycle. In this role, you will architect complex event‑driven solutions using Apache Kafka and Apache Flink, navigate deep‑dive technical discoveries utilizing the CLUSTTER framework, and dismantle advanced technical barriers to adoption. This role demands an individual who is fully competent across cloud‑native architectures, capable of mapping abstract business pain points directly to the Confluent product value proposition, and passionate about mentoring early‑career engineers. /p h3Key Responsibilities /h3 ul liSolution Architecture Value Mapping: Architect tailored Confluent solutions that combine documented capabilities (Confluent Cloud/Platform, Schema Registry, Kafka Connect, Flink SQL) to meet complex enterprise technical requirements. Effectively utilize conceptual frameworks, such as the Confluent "Layer Cake," during interactive white‑boarding sessions. /li liStructured Technical Discovery: Lead comprehensive technical discovery sessions with high‑value prospects to meticulously uncover what the customer is solving for and, crucially, the Why. /li liStrategic Deal Qualification (MEDDPICC): Actively participate in opportunity qualification alongside Account Executives beyond Stage 3.5. Use technical and business discovery to fill in critical components of the MEDDPICC framework (e.g., identifying Technical Criteria, building Champions, and shaping the business win). /li liAdvanced Proof‑of‑Concepts (PoCs) RFI/RFIs: Lead, conduct, and manage the technical execution of RFPs/RFIs. Build and customize undeniable PoCs/POTs (Proof of Technology) that definitively prove Confluent is the only viable, low‑latency streaming solution to mitigate customer pain points. /li liCross‑Functional Collaboration Community Sharing: Act as a fierce internal advocate for the customer. Proactively share key field learnings, architectural patterns, and competitive takeaways across core internal Slack channels to influence product roadmaps. /li liObjection Handling Escalation: Think on your feet to resolve complex technical objections that fall outside of standard documentation. Act as an escalation point for systemic issues, leveraging a deep understanding of Kafka/Flink internals, consumer group rebalances, and custom connectors. /li /ul h3Required Technical And Professional Expertise /h3 ul liStreaming Ecosystem Mastery: Production‑level experience with Apache Kafka internals (storage, replication, protocols) and the Confluent Ecosystem (Confluent Cloud, Schema Registry, Connectors, and ksqlDB). /li liStream Processing Analytics: Strong hands‑on experience with Apache Flink for stateful stream processing, including state management, checkpointing/savepoints, windowing, and Flink SQL optimization. /li liDevelopment Scripting: High proficiency in Java, Scala, or Python to write custom event‑driven applications, producers/consumers, or user‑defined functions (UDFs). /li liInfrastructure Ecosystems: Solid understanding of cloud provider ecosystems (AWS, Azure, or GCP), modern containerization (Kubernetes/Operators), and hybrid/on‑prem deployment patterns. /li liEnterprise Architecture Governance: Robust knowledge of security frameworks (mTLS, SASL/SCRAM, OAuth), data privacy regulations, and schema evolution (Avro, Protobuf). /li liPersuasive Communication: Exceptional ability to deliver fundamental and highly customized presentations to multiple personas, seamlessly adapting language from low‑level developers to C‑suite and Line‑of‑Business (LoB) executives. /li liCompetitive Intelligence: Strong understanding of how major competitors' products work, enabling you to proactively set competitive traps rather than simply reacting to standard objections. /li liCommercial Acumen: Clear understanding of consumption‑based cloud pricing, subscription licensing, and billing models to design strategic deployment plays that optimize long‑term customer value. /li /ul h3Preferred Technical And Professional Experience /h3 ul li3–5 years of experience in a highly technical, customer‑facing role (e.g., Solutions Engineering, Technical Consulting, or Enterprise Data Architecture). /li liFluency in Spanish and English. /li /ul /p #J-18808-Ljbffr