Data Platform Enterprise Architect

Job Description:

DXC Technology (NYSE: DXC) is a leading enterprise technology and innovation partner delivering software, services, and solutions to global enterprises and public sector organizations - helping them harness AI to drive outcomes at a time of exponential change with speed. With deep expertise in Managed Infrastructure Services, Application Modernization, and Industry-Specific Software Solutions, DXC modernizes, secures, and operates some of the world's most complex technology estates. Learn more on dxc.com.

DXC helps global companies run their mission-critical systems and operations while modernizing IT, optimizing data architectures and ensuring security and scalability across public, private and hybrid clouds. The world’s largest companies and public sector organizations trust DXC to deploy services to drive new levels of performance, competitiveness, and customer experience across their IT estates. Our more than 125,000 people in 70-plus countries are entrusted by our customers to deliver transformative technologies to ensure the success, safety and well-being of businesses and people around the world. By combining strengths and expertise globally, we create solutions and deliver greater outcomes for customers across their entire IT estate. Learn more about how we deliver excellence for our customers and colleagues at dxc.com.

About The Team/Offering

• Our global team of consulting, engineering, and technology experts partners with the world’s most innovative companies to help them thrive in an AI-powered world. With a strong foundation of values, deep industry expertise, and an extensive partner network, our people are trusted by clients to lead transformative change.

• At AdvisoryX, you won’t just advise, you’ll transform. We partner with regional and multinational enterprises to tackle their most complex strategic, operational, and technology challenges - and we measure our success in real outcomes: revenue growth, cost efficiency, and lasting competitive advantage. As a global practice, AdvisoryX brings together expertise across corporate strategy, AI strategy and deployment, operational excellence, technology transformation, people and culture, risk management, and user experience. If you’re driven by bold ideas and want to see them come to life at scale, AdvisoryX is where you belong.

About The Role

• The Consultant, Data Platform & AI Transformation is a consulting and solution architecture role supporting the Singapore Data and AI practice within AdvisoryX ASEAN, part of DXC's Consulting and Engineering Services (CES). The role focuses primarily on public sector and government clients, shaping and progressing data platform and AI opportunities from early advisory through to solution design, proposal, and post-award delivery guidance.

• Acting as a solution architect and consulting lead, you will translate ambiguous business and operational requirements into feasible technical architectures, transformation roadmaps, and delivery approaches. You will contribute to technical deal strategy, including solution scope, high-level architecture, assumptions, dependencies, technology selection, effort estimation, and pricing input, while bridging consulting delivery, practice leadership, sales, and solutioning teams to drive growth and successful post-sale outcomes.

• This is a role for a practitioner who combines strong data platform and architecture depth with consulting credibility, capable of leading client conversations at a senior level and mentoring junior consultants while contributing to broader practice capability over time.

Essential Job Function:

• Lead or contribute to solution architecture and technical solutioning for data platform, analytics, and AI/GenAI engagements across Singapore public sector and enterprise clients.
• Support end-to-end deal pursuit, including discovery workshops, solution options analysis, architecture definition, deployment model selection, effort estimation, and proposal content.
• Facilitate client workshops and discovery sessions to identify pain points, define target-state architecture, and co-create transformation strategies.
• Engage senior client stakeholders (CDO, CIO, CRO, CISO, business and technology leaders) as a trusted advisor.
• Develop solution narratives, reference architectures, reusable demos, toolkits, pricing models, and technical proposal content.
• Coordinate vendors, subcontractors, and alliance partners to form end-to-end offerings.
• Advise delivery teams post-award on implementation architecture, feasibility, and business-value alignment.
• Contribute to practice development through methodologies, playbooks, reusable assets, and capability uplift.
• Coach and mentor consultants across the practice.
• Translate ambiguous business and operational requirements into feasible technical architectures, transformation roadmaps, and delivery approaches.

Qualifications:

• 7+ years across consulting, solution architecture, technical presales, and delivery, with a minimum of 3 years in consulting and demonstrable depth in modern data platform design and delivery.
• Demonstrated success leading or contributing to solution pursuits, from discovery through proposal to post-award advisory.
• Deep, hands-on data platform expertise (modern data platforms, warehousing/lakehouse, pipelines, data modelling, and governance), with breadth across integration/interoperability, AI/analytics, and deployment/governance.
• Ability to engage and influence senior stakeholders and translate technical trade-offs into business language.
• Data platform or data engineering certification (e.g. Databricks, Snowflake, Microsoft Fabric/Azure Data Engineer, AWS Data Analytics/Data Engineer); cloud architecture certification (AWS, Azure, or equivalent); TOGAF an advantage.
• Bachelor's degree in Engineering, Computer Science, Information Systems, or related field.
• Proven, hands-on design and delivery of modern data platforms: ingestion, ETL/ELT, data modelling, and pipeline automation at enterprise scale.
• Modern data platform architecture across cloud and on-premises: lakehouse, data warehousing, streaming, and analytics stores (e.g. Databricks, Snowflake, Microsoft Fabric, AWS, or equivalent).
• Data quality, lineage, governance, and integration across enterprise source systems, including master data and metadata management.

Other Qualifications:

• Advanced degree (e.g. MBA) or equivalent business qualification.
• Data platform and data engineering certifications (Databricks, Snowflake, Microsoft Fabric, Azure Data Engineer, or AWS Data Analytics/Data Engineer); AWS or Azure Solutions Architect; TOGAF.
• Experience across public sector, regulated industries, healthcare, utilities, or financial services in Singapore and the wider ASEAN region.
• Exposure to digital twin, operational intelligence, automation/RPA, enterprise content management, or ServiceNow-adjacent workflows.
• Familiarity with governance, cybersecurity, and data protection considerations in enterprise transformation programmes.
• Prior consulting or presales experience in a professional services or systems integration firm.
• Databricks Certified Data Engineer, Snowflake SnowPro, Microsoft Certified Azure Data Engineer, or AWS Certified Data Engineer.
• ITIL v4, for service management and operating model context.
• Agile delivery certifications such as Scrum (CSM/PSM) or SAFe.
• Project management certifications such as PMP or Prince2.
• Business analysis certifications such as CBAP or CCBA.

At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.

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