Data Platform Enterprise Architect (AI)

Location: Singapore; work model prioritizes in-person collaboration

Company

hirify.global delivers enterprise technology, consulting, software, managed infrastructure, application modernization, data, AI, and security solutions for global enterprises and public sector organizations.

What you will do

• Lead or contribute to solution architecture and technical solutioning for data platform, analytics, and AI/GenAI engagements.
• Support end-to-end pursuits from discovery workshops and solution options through architecture definition, deployment model selection, estimation, pricing input, and proposals.
• Facilitate client discovery sessions, define target-state architectures, and co-create transformation strategies.
• Advise senior stakeholders and translate business and operational requirements into technical architectures, roadmaps, and delivery approaches.
• Develop solution narratives, reference architectures, reusable demos, toolkits, pricing models, and technical proposal content while coordinating vendors and alliance partners.
• Advise post-award delivery teams and contribute to practice development, reusable assets, capability uplift, and consultant mentoring.

Requirements

• 7+ years across consulting, solution architecture, technical presales, and delivery, including at least 3 years in consulting and demonstrable depth in modern data platform design and delivery.
• Proven success leading or contributing to solution pursuits from discovery through proposal and post-award advisory.
• Deep hands-on expertise in modern data platforms, warehousing or lakehouse architectures, pipelines, data modelling, governance, integration, interoperability, AI, and analytics.
• Hands-on enterprise-scale design and delivery covering ingestion, ETL/ELT, pipeline automation, data quality, lineage, master data, metadata management, and integration across source systems.
• Experience architecting cloud and on-premises data platforms, including lakehouses, data warehouses, streaming, and analytics stores such as Databricks, Snowflake, Microsoft Fabric, AWS, or equivalent.
• Ability to influence senior stakeholders and explain technical trade-offs in business language.
• Data platform or data engineering certification and cloud architecture certification in AWS, Azure, or equivalent; TOGAF is an advantage.
• Bachelor’s degree in Engineering, Computer Science, Information Systems, or a related field.

Nice to have

• Advanced degree or equivalent business qualification, such as an MBA.
• Experience in Singapore or wider ASEAN across public sector, regulated industries, healthcare, utilities, or financial services.
• Exposure to digital twin, operational intelligence, automation/RPA, enterprise content management, or ServiceNow-adjacent workflows.
• Familiarity with governance, cybersecurity, and data protection in enterprise transformation programmes.
• Professional services or systems integration consulting or presales experience.
• Certifications including Databricks, Snowflake, Microsoft Azure Data Engineer, AWS Data Engineer or Data Analytics, ITIL v4, Scrum, SAFe, PMP, Prince2, CBAP, or CCBA.

Culture & Benefits

• Work model prioritizes in-person collaboration while offering flexibility for wellbeing, productivity, individual work styles, and life circumstances.
• Inclusive environment focused on strong connections, community, and enabling people to thrive.
• Full-time employment with a global consulting and technology organization.