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Jobfoundry
Deloitte

T&T Senior Consultant - Artificial Intelligence & Data (Data and Cloud Platform Engineer) - SG

Deloitte
BusinessSingapore, Singapore, SGFull-time2 weeks ago
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About the role

AI summarised

Senior Consultant role at Deloitte's AI & Data practice, focused on architecting and building enterprise-scale data platforms on Google Cloud. The role involves designing scalable cloud data platforms, developing robust data pipelines for AI and analytics, implementing data governance frameworks, and mentoring team members. Requires deep expertise in GCP, data engineering, and modern data architecture concepts.

BusinessFull-timeEngineering, AI & Data

Key Responsibilities

  • Design and implement a modern, scalable, and cost-optimized cloud data platform on Google Cloud Platform (GCP).
  • Develop robust data pipelines that power everything from self-service analytics to Agentic AI and other advanced machine learning use cases.
  • Utilize advanced analytics and cognitive technologies to uncover hidden insights and solve critical business challenges.
  • Engineer automated data governance, lineage, and quality frameworks to ensure data is treated as a trusted, reliable product.
  • Guide the technical direction of the platform, champion best practices, and mentor a talented team of engineers.

Requirements

  • Proven experience designing and building enterprise-scale, cloud-native data platforms. GCP experience is required; strong AWS experience is also valued.
  • Expertise in designing multi-layered data architectures (e.g., for raw, cleansed, and consumption-ready data layers) to ensure quality and scalability.
  • Mastery of building robust, metadata-driven ingestion pipelines for diverse data types (Batch, Streaming, API, IoT/Geospatial) using tools like Python.
  • Strong expertise in data modeling (Dimensional/Star Schema, 3NF) and building performant, subject-oriented data marts in a cloud warehousing environment.
  • Hands-on experience with core GCP services, particularly Google BigQuery and its ecosystem (e.g., Dataflow, Cloud Composer, Pub/Sub, Dataplex).
  • Experience implementing enterprise data governance frameworks, including automated data lineage, data catalogs, and granular access controls.
  • A strong understanding of modern data strategy concepts like Data Mesh or 'Data as a Product.'
  • Familiarity supporting a hybrid BI environment with tools like Tableau and Power BI, connecting them to a governed semantic layer or directly to data warehouse.
  • Proficiency with FinOps principles to ensure cost-efficient architecture and operations.
  • Experience architecting data solutions that directly support advanced AI/ML use cases, including Conversational BI and intelligent agents.
  • Demonstrated ability to integrate data platforms with Large Language Models (LLMs), especially via Google Vertex AI.
  • Experience developing and managing a comprehensive MLOps framework for the full model lifecycle (feature engineering, deployment, monitoring).
  • Minimum 8 years of relevant experience, with a track record of technical leadership on complex data projects (5 and above members).
  • A degree in Business Analytics, Statistics, Computer Science, Engineering, Data Science, Artificial Intelligence, or a related field (or equivalent practical experience).
  • Excellent interpersonal skills with the ability to translate technical concepts to non-technical stakeholders.
  • Creative, solution-oriented approach and passionate about working effectively in a diverse team.