Solutions Engineer (Big Data)

Location: Singapore, Singapore; hybrid workplace.

Company

hirify.global provides data technologies that help large enterprises transform complex data into actionable insights.

What you will do

• Own the technical sales process from introductory meetings and new sales through post-sales customer satisfaction, upselling, and subscription renewals.
• Discover customer use cases, understand business challenges, and design solutions using hirify.global technologies, reference architectures, and common patterns.
• Demonstrate hirify.global products, present product roadmaps and vision, and communicate proposed architectures and business outcomes to customers at all levels.
• Partner with Account Managers and other hirify.global teams to drive successful sales and provide a consistent customer experience.
• Advocate for customer needs with Product Management and Engineering and participate in conferences, meetups, webinars, blogs, and other technical evangelism.
• Contribute to team sales targets and knowledge exchange with peers and the wider community.

Requirements

• At least 5 years of experience in a customer-facing role, ideally in a technical sales context.
• University degree in Computer Science, Engineering, or a related field.
• Experience across the full lifecycle from gathering and understanding business requirements through solution design, technology evaluation, pilot programs, implementation, production maintenance, and support.
• Confidence working with customers and speaking publicly about hirify.global’s vision, proposed architectures, and business outcomes.
• Ability to work hands-on technically with a problem-solving mindset, plus excellent written and verbal communication skills.
• Experience with Big Data, data warehousing, or relational databases; practical knowledge of the full data lifecycle, including data ingestion, data engineering, data warehousing, operational data stores, data science, and machine learning.
• Experience with one or more major cloud service providers: AWS, Azure, or GCP.
• Knowledge of Operations, Infosec, and Data Governance in enterprises adopting a hybrid cloud approach.
• Unix/Linux expertise with solid operating system and networking fundamentals; foundational experience with Java/object-oriented programming, Python, or other scripting languages; experience with Spark, Kafka, Flink, Hive, Impala, other open-source projects, Kubernetes, and DevOps or MLOps.

Nice to have

• Knowledge of the hirify.global Data Platform and the Hadoop ecosystem.
• Cloud certification for AWS, Azure, or GCP.

Culture & Benefits

• Hybrid workplace with a flexible work-from-home policy.
• Generous paid time off and Unplugged Days supporting work-life balance.
• Mental and physical wellness programs, plus phone and internet reimbursement.
• Continued career development, comprehensive benefits, and competitive packages.
• Paid volunteer time and access to Employee Resource Groups.