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BCG Platinion - AI Tech Architect | Senior AI Tech Architect
Senior AI Tech Architect at BCG Platinion advises clients on digital transformation, designs modern data platforms, and aligns business goals with cutting-edge AI solutions.
Databricks Platform Engineer — AI & Data, Cloud Analytics
Designs, builds, and optimizes scalable cloud data platforms on Databricks and Spark for AI and analytics workloads, focusing on governance, security, and automation in Azure or AWS.
Senior Software Engineer – Data Management Platform
Senior engineer building and optimizing Roku’s data infrastructure to power streaming services and user experiences using Python/Java/Scala, Spark, Kafka, and cloud platforms.
Engineer, Machine Learning Systems (AI Products)
Build and scale distributed systems that power AI features for millions of users, integrating LLMs into production using Python, Spark, and Kubernetes.
Senior Data Engineer (AWS & Snowflake)
Senior Data Engineer builds cloud-native pipelines on AWS and Snowflake to power financial crime monitoring and reporting at Australia’s largest bank.
Senior Data & AI Engineer — Databricks & Cloud Pipelines
Designs and scales enterprise data solutions on Databricks, builds Spark pipelines, and productionises AI models for live/batch inferencing.
Senior Software Engineer (Data)
Build and optimize large-scale data pipelines and platforms for a global market maker, using Python, Spark, and Databricks to support real-time trading insights and research workflows.
Position: Principal Data Engineer New
Principal Data Engineer at REA Group designs and oversees large-scale data systems for Australia’s leading property platform, ensuring reliable pipelines and high-quality data delivery for millions of users.
AI Architect - Databricks
Design and implement scalable AI/ML platforms on Databricks Lakehouse, leading data engineering, MLOps, and generative AI solutions for enterprise use cases.
Principal Data Engineer
Lead the architecture and delivery of large-scale data systems for a top Australian property platform, guiding ETL workflows, cloud warehouses, and cross-team collaboration.
Senior Data Engineer (Engineer Database 4)- 27699
Design and maintain secure data pipelines for intelligence operations, integrating and transforming classified/unclassified datasets to support GEOINT analysis and mission-critical reporting.
Principal Data Scientist
Lead AI/ML initiatives in banking, designing and deploying GenAI, agentic systems, and ML models to reimagine customer service and operations using Python, TensorFlow, and cloud platforms.
Senior Data Engineering Manager
Lead a team of data engineers building and scaling Atlassian’s analytical data platforms that process billions of events monthly to power company-wide decision-making.
Senior Data Engineer: Spark/PySpark on Azure Lakehouses
Designs and builds Spark/PySpark pipelines on Azure Lakehouses to ingest, transform, and store investment data for analytics and downstream systems.
Data Scientist (MLOps)
Build and deploy scalable ML models and data platforms in AWS and hybrid environments using TensorFlow/PyTorch, Docker, and Kubernetes.
Technical Lead - Data Engineering
Lead the design and build of a modern Azure-based data platform, owning scalable pipelines, governance, and mentoring engineers to power enterprise analytics and ML.
Senior Data Engineer - Spark, SQL, AWS, Banking
Designs and builds data pipelines for banking systems using Spark, SQL, and AWS, ensuring reliable data flows and analytics.
Data Engineering Lead
Lead a team of data engineers to design and modernize cloud-based data pipelines and architectures for a lottery/SaaS company, migrating from legacy systems and ensuring governance, security, and scalability.
Senior Data Engineer: AI-Driven Lakehouse & Cloud Pipelines
Design and build scalable data pipelines and lakehouse architectures on Databricks using PySpark/Scala and Delta Lake, ensuring production readiness with CI/CD and monitoring.
Solution Designer / Lead Data Engineer (Google Cloud)
Design and lead a modern, multi-cloud enterprise data ingestion framework, building scalable pipelines and governance controls to move batch and streaming data into cloud data lakes and warehouses.