Job Description
The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.
Company Overview
A leading data and AI technology company provides a unified platform that helps organizations build, deploy, and scale data engineering, analytics, machine learning, and artificial intelligence solutions. Its platform enables enterprises to transform complex data into actionable insights while supporting large-scale production workloads across major cloud environments.
As a Sr. Forward Deployed Engineer, the professional will work directly with customers to build and productionize solutions for complex data and AI challenges. The role will own architecture, lead technical design decisions, and implement end-to-end systems spanning data engineering, artificial intelligence, and application development.
This is a hands-on, customer-facing position suited to engineers who thrive at the intersection of technology and business impact. The successful candidate will combine strong engineering expertise with adaptability, curiosity, customer empathy, and the ability to solve complex technical problems that deliver measurable outcomes.
Key Responsibilities
- Lead impactful customer technical projects by delivering production-grade systems, reference architectures, custom applications, data ingestion solutions, and ML/AI model integrations.
- Guide strategic customers through transformational big data initiatives, including the end-to-end design, development, and deployment of advanced data and AI applications.
- Work with engagement managers and customers to scope technical delivery projects and establish measurable outcomes.
- Guide customers through architecture and design decisions while helping implement projects that support successful evaluation and adoption of the platform.
- Own architecture and design decisions, ensuring solutions are secure, scalable, performant, and aligned with customer requirements and platform best practices.
- Collaborate with technical teams, project managers, architects, and customer teams to ensure technical components are delivered according to customer needs.
- Work with engineering and customer support teams to provide product and implementation feedback and help resolve engagement-specific technical issues.
- Embed with customer teams and engage stakeholders ranging from technical individual contributors to executive leadership to understand challenges and deliver meaningful business impact.
- Develop reusable accelerators, frameworks, and best practices that can scale across customer engagements.
- Contribute technical insights that can help influence future product direction and roadmap priorities.
- Provide technical guidance and training to customers to improve their understanding and adoption of data and AI solutions.
Required Qualifications
- 6+ years of experience in data engineering, data platforms and analytics, or software engineering.
- Strong programming experience with Python, Scala, JavaScript/TypeScript, or modern application development frameworks.
- Working knowledge of at least two major cloud ecosystems, including AWS, Azure, or GCP, with deep expertise in at least one.
- Extensive experience with distributed computing using Apache Spark and an understanding of Spark runtime internals.
- Familiarity with CI/CD practices for production deployments.
- Working knowledge of MLOps, machine learning and AI models, and AI APIs.
- Experience designing and deploying performant, production-ready end-to-end data architectures and applications combining data pipelines, ML/AI models, and user-facing interfaces.
- Experience delivering technical projects, including managing scope, timelines, and measurable outcomes.
- Ability to translate complex technical concepts into practical and actionable solutions.
- Strong documentation and whiteboarding skills.
- Experience working with enterprise customers and managing conflicts across diverse stakeholder groups.
- Demonstrated curiosity, adaptability, and eagerness to develop technical skills and explore emerging technologies.
- Ability to support the deployment and integration of platform-based solutions to complete customer projects successfully.
- Willingness to travel to customers approximately 20% of the time.
- Databricks Certification is an advantage.
Disclaimer
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- No Client Relationship: This company is not a client of SpringCube unless stated.
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