T&T Data Platform Architect - Artificial Intelligence & Data - GPS - SG

Are you ready to unleash your potential?

At Deloitte, our purpose is to make an impact that matters for our clients, our people, and the communities we serve. 

We believe we have a responsibility to be a force for good, and WorldImpact is our portfolio of initiatives focused on making a tangible impact on society’s biggest challenges and creating a better future. We strive to advise clients on how to deliver purpose-led growth and embed more equitable, inclusive as well as sustainable business practices. 

Hence, we seek talented individuals driven to excel and innovate, working together to achieve our shared goals. 

We are committed to creating positive work experiences that foster a culture of respect and inclusion, where diverse perspectives are celebrated, and everyone is recognised for their contributions.

Ready to unleash your potential with us? Join the winning team now!

Work you’ll do:

The Artificial Intelligence & Data team leverages the leverages the power of data, analytics, data engineering, advanced analytics, AI/ML, Generative AI, Agentic AI, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy, Growth & Innovation portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. 

The Data Platform Architect is Deloitte Government and Public Services' technical authority for data platform engagements on Snowflake and/or Databricks - spanning technical leads who own detailed architecture and delivery, through to enterprise architects who set target-state design and advise CxO stakeholders. Across this range, the Architect ensures every platform is designed to deliver trustworthy, governed data and real AI-driven insight, so platforms are built for responsible and secure AI adoption within Singapore's regulated public-sector technology environment.

Primary responsibilities include: 

• Lead client conversations on data strategy, target-state architecture, and platform modernisation roadmaps - acting as the primary technical advisor to CxO and senior public-sector stakeholders at the Director end of the role, and as the day-to-day technical point of contact for delivery leads and workstream stakeholders at the Manager end.
• Design enterprise and solution architectures for modern data platforms (lakehouse, data mesh, data warehouse modernisation) on Snowflake and/or Databricks - from detailed technical design, sprint plans, and build standards at Manager grade, through to enterprise-level target-state architecture at Director grade.
• Define the architecture that connects data pipelines to AI/ML, GenAI, and agentic workflows - e.g. Snowflake Cortex, Databricks Mosaic AI/MLflow, vector search, RAG patterns, and AI agents consuming governed data products - applying Deloitte's Trustworthy AI™ framework so platforms are designed from the outset for responsible, governed AI adoption rather than retrofitted later.
• Design and validate architectures against Singapore's public-sector technology and security requirements - including alignment with the Singapore Government Tech Stack (SGTS, SHIP-HATS and others), the Government Data Architecture (Single Sources of Truth, Trusted Centres, and whole-of-government data-sharing patterns), deployment on Government on Commercial Cloud (GCC), compliance with IM8 security policy.
• Own technical governance across engagements: architecture review, standards, and reusable accelerators for the practice - applying and evolving Deloitte's own data platform reference architectures, developing new ones where none exist, and reconciling them with relevant Singapore Government reference architectures (e.g. under SGTS and the GDA) so client solutions are both best-practice and compliant.
• Manage and mentor Data Platform Engineers: allocate work, review code and design decisions, unblock technical issues, and uphold engineering quality (testing, CI/CD, documentation) - with the scope of direct team leadership scaling with grade.
• Shape proposals and tender responses (solution design, technical win themes, estimation) and support business development and pre-sales.
• Act as escalation point for complex technical risk across engagements, and provide technical leadership and mentorship across the Data Platform capability.
• Stay ahead of the Snowflake/Databricks roadmap, the broader data & AI ecosystem, and evolving Singapore Government technology standards to keep Deloitte's offerings and reference architectures current.

Your role as a leader:

At Deloitte, we believe in the importance of empowering our people to be leaders at all levels. We expect our people to embrace and live our purpose and shared values, challenging themselves everyday to identify issues that are most important to our clients, our people and the communities, and to make an impact that matters. In addition to living our purpose, Senior Managers across our Firm are expected to:

• Understand the goals of Deloitte, align our people to these objectives by setting clear priorities and direction by establishing a positive relationship with a senior stakeholders.
• Influence teams, and individuals positively. Lead by example and provide equal opportunity for people to grow, develop and succeed.
• Delivers exceptional client service. Maximizes results and drives high performance from people while fostering collaboration across businesses and geographies.
• Manage diverse teams within a highly inclusive team culture where people are respected and valued for their contribution.
• Develop high-performing teams through challenging and meaningful opportunities and recognize them for the impact that they make.

• Business Development - Participate in all aspects of the proposal development cycle; contribute to the development of proposal technical content; participate in the development of sales presentation or market positioning material.
• Engagement Management - Manage a project or program team; develop work plans for the engagement; determine the client needs by selecting and applying appropriate approaches, tools, and techniques to the client's business.

• Practice Development & Eminence-- Participate in the development of market-valued intellectual capital; contribute to the development of practical solutions and methodologies; participate in third parties and partners relationship building.

Requirements:

• 7-10 years in data architecture/engineering, including a period in an enterprise or solution architect capacity, ideally within a consulting or systems integrator environment.
• Experience delivering data or technology programmes for government or other highly regulated clients is highly valued - familiarity with Singapore's public-sector technology and security landscape (the Singapore Government Tech Stack (SGTS), the Government Data Architecture (GDA), Government on Commercial Cloud (GCC), and IM8 security policy).
• Ability to work with reference architectures - applying and adapting Deloitte's own data platform reference architectures, and, at the more senior end of the range, building new ones where none exist and reconciling them with government reference architectures and standards.
• Demonstrated hands-on depth in Snowflake and/or Databricks - architecture, performance/cost design, security and governance model - not just familiarity.
• Track record designing and/or delivering data platform, data warehouse, or lakehouse modernisation programmes.
• Strong understanding of how modern data platforms enable AI/ML, GenAI, and agentic use cases (feature engineering, model serving, RAG, vector databases, AI agents consuming governed data products).
• Experience with cloud platforms and their native data services - AWS experience is strongly preferred given prevailing government cloud environments, though strong experience with Azure or GCP is also welcome.
• Client-facing consulting skills: workshops, executive communication, proposal writing, commercial awareness.
• Experience managing delivery timelines, technical risk, and an engineering team in a client or programme setting.
• Enterprise/solution architecture credentials (e.g. TOGAF) an advantage.

Certifications (preferred)

Any of the following looked on favourably:

• SnowPro Core or Advanced certifications
• Databricks Certified Data Engineer Professional or Databricks Certified Machine Learning Professional
• Relevant cloud architecture certification (AWS preferred; Azure/GCP also recognised)

Due to volume of applications, we regret that only shortlisted candidates will be notified.

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