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Lead the design and build of UNSW College’s enterprise data platform using Microsoft Fabric, Azure, and Power BI to deliver trusted analytics and insights for student and academic outcomes.
Senior Data Engineer building greenfield ML data infrastructure—lakehouse architecture, training pipelines, feature stores, and pipeline observability—on GCP using Python, Spark, Kafka, and Airflow for a healthtech SaaS platform.
Senior Data Engineer designs and operates a high-volume retail data platform using Databricks, Medallion architecture, and Delta Lake to power dynamic pricing and business intelligence.
Senior Data Engineer designs and operates a high-volume retail pricing and business-intelligence data platform using Databricks, Delta Lake, and Medallion architecture.
Design and optimize scalable data pipelines and transition to a Data Mesh architecture for a betting platform using Spark, Python/Scala, and cloud-native services.
Designs, builds, and optimizes a global data platform and analytics infrastructure using Databricks, Azure Data Factory, and relational databases, enabling AI-driven solutions while ensuring governance, security, and performance.
Designs and guides secure, scalable data pipelines and AI/ML workflows in Databricks and Palantir Foundry for mission-critical environments.
Job Title : Databricks Solution Architect Location : King of Prussia, PA - Onsite Long term Contract Experience : 12 Years Required Skills · 12 years of experience in Data Engineering, Data Architecture, Cloud…
Build and maintain Databricks data pipelines (PySpark, SQL) that feed analytics products for LATAM supply-chain teams, using medallion architecture and AI-assisted tools.
Build and maintain scalable data pipelines and warehouses for a fast-growing mobility app, using Python, Spark, Kafka, and cloud data warehouses like Snowflake.
Leads data engineering teams to design, build, and optimize scalable data pipelines and lakehouse architectures on Databricks/AWS, ensuring platform reliability, cost efficiency, and cross-team alignment for business intelligence, analytics, fraud detection, and reporting at a global sports-tech company.
We are seeking a Lead AI Engineer, Databricks, to design and build data engineering frameworks, reusable components, and best practices that empower hundreds of SAP Data Engineers to build AI-ready Data Products at…
We are seeking a Senior Data Quality Engineer to support three key engineering streams (Data Product Engineering Framework, Polarmesh Portal, Platform Engineering Team). You will collaborate closely with Data…
Lead Data Engineer builds and maintains enterprise-scale data platforms using Azure Databricks and Microsoft Fabric to support analytics, AI, and ML in a Federal Government environment.
The Senior Data Engineer designs, develops, and maintains scalable data pipelines and models using Databricks and AWS technologies. This role ensures high-performance data integration and platform reliability to support analytics and AI/ML initiatives within a pharmaceutical services environment.
Build and maintain Databricks-based Lakehouse architectures using Delta Lake and Medallion patterns to ingest, transform, and monitor environmental and climate data for a government agency.
Lead a greenfield data platform, build scalable pipelines, and embed AI across the data lifecycle for a hospitality-focused SaaS provider.
TOPSYS IT is Hiring! Job Title: Solution Architect – Data & AI Platform Location: Remote Duration: Long Term Contract Lead enterprise Data & AI architecture using Databricks Lakehouse, Delta Lake, Unity Catalog, Spark,…
Acts as a Data Engineering Consultant developing, optimizing, and governing ETL/ELT pipelines using Azure Databricks, managing data governance with Unity Catalog, and collaborating on data solutions.
The Senior AI Engineer designs and deploys Generative AI solutions, including LLMs, RAG architectures, and agents, to enhance enterprise automation and decision-making. The role involves integrating AI models with enterprise data platforms on AWS and Azure while ensuring model security, quality, and performance.
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