The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.
Company Overview
A leading global professional services firm is seeking a Senior Consultant in Artificial Intelligence and Data to drive innovation in cloud data platforms. The organization focuses on delivering impactful solutions in AI, data engineering, and analytics, helping clients across industries leverage cloud technologies and advanced analytics to achieve purpose-led growth and sustainable business outcomes.
Work You’ll Do
The Senior Consultant will architect and build a next-generation, enterprise-wide data platform on Google Cloud, supporting advanced AI and analytics initiatives. This role involves moving beyond traditional data engineering to create intelligent, automated systems while guiding and mentoring a team of engineers.
Key Responsibilities
Innovate & Build: Design and implement a modern, scalable, and cost-optimized cloud data platform on Google Cloud Platform (GCP)
Enable AI & Analytics: Develop robust data pipelines powering self-service analytics, Agentic AI, and other advanced machine learning use cases
Solve Complex Problems: Apply advanced analytics and cognitive technologies to uncover insights and solve critical business challenges
Implement Robust Governance: Engineer automated data governance, lineage, and quality frameworks to ensure data is a trusted, reliable product
Lead & Mentor (Senior Level): Guide technical direction, champion best practices, and mentor a team of engineers
Role as a Leader
Senior Consultants are expected to:
Lead the design and implementation of enterprise-scale, cloud-native data platforms (GCP experience required; AWS experience valued)
Build multi-layered data architectures (raw, cleansed, consumption-ready layers) ensuring quality and scalability
Develop robust, metadata-driven ingestion pipelines for diverse data types (Batch, Streaming, API, IoT/Geospatial) using Python
Model data effectively (Dimensional/Star Schema, 3NF) and build performant, subject-oriented data marts in cloud warehousing
Implement enterprise data governance frameworks, including automated lineage, data catalogs, and access controls
Support hybrid BI environments with Tableau or Power BI, connecting to governed semantic layers or data warehouses
Apply FinOps principles for cost-efficient architecture and operations
(Optional) Architect data solutions for AI/ML use cases, integrate platforms with LLMs via Google Vertex AI, and develop MLOps frameworks
Requirements
Minimum 8 years of relevant experience, with proven technical leadership on complex data projects (teams of 5+ members)
Degree in Business Analytics, Statistics, Computer Science, Engineering, Data Science, Artificial Intelligence, or related field (or equivalent practical experience)
Excellent interpersonal and communication skills to translate technical concepts for non-technical stakeholders
Creative, solution-oriented mindset with the ability to work effectively in diverse teams
Willingness to learn and adapt to new technologies and approaches
Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in Singapore.
1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality. 2. No Client Relationship: This company is not a client of SpringCube unless stated. 3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job. 4. No Liability: SpringCube is not liable for inaccuracies.
Save
