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Leads customers in designing and implementing secure, scalable big data solutions on Databricks, focusing on cloud infrastructure, security, and performance optimization for production workloads.
Guide strategic customers in designing and implementing secure big data solutions on the Databricks Data Intelligence Platform, focusing on cloud infrastructure security, network architecture, and security lakehouse workloads across ASEAN and Greater China.
The Senior Data Engineer will design and manage autonomous, production-grade ETL/ELT pipelines using Python, PySpark, and SQL Server. The role involves implementing lakehouse architectures, deploying containerized solutions via Kubernetes, and ensuring robust data governance and CI/CD practices.
The Data Engineer will design and build scalable data lakehouse platforms and ETL pipelines on AWS for a government project. The role involves implementing data quality frameworks, using infrastructure-as-code tools, and ensuring robust data governance.
The Solution Architect will design and implement scalable multi-cloud and Generative AI solutions for clients, bridging business requirements with technical execution. The role focuses on AWS, Azure, and GCP environments, utilizing LLMOps, RAG, and agentic AI frameworks to deliver production-grade platforms.
The Databricks Solution Architect will design and implement scalable, cloud-native big data platforms and lakehouse architectures for clients. This role involves leading data modernization initiatives, collaborating with stakeholders, and providing technical leadership in data engineering and AI integration.
The Databricks Data Engineer will design and implement scalable ETL/ELT pipelines and Lakehouse architectures to support advanced analytics and AI use cases for clients. This role requires deep expertise in the Databricks ecosystem, including Spark, Delta Lake, and Unity Catalog, to build robust, secure, and governed data solutions.
The Databricks Solution Architect designs and delivers scalable, cloud-native big data platforms and lakehouse architectures for enterprise clients. This role involves strategic consulting, leading data modernization initiatives, and integrating AI/ML capabilities using technologies like Databricks, Spark, and Kafka.
The Databricks Data Engineer will design and implement scalable data pipelines and Lakehouse architectures to support advanced analytics and AI use cases for clients. This role involves working with the Databricks platform, cloud-native environments, and ETL/ELT workflows to deliver robust, secure data solutions.
DV-cleared Data Architect designing AWS data lakes and secure data integrations for a Defence-sector consultancy client, based in London with 2-3 days hybrid.
The Business Intelligence Analyst will design, implement, and maintain data pipelines, databases, and analytics solutions using the Microsoft BI stack, Azure, and Power BI. The role involves collaborating with stakeholders to transform data into actionable insights and supporting the company's BI infrastructure.
Pre-sales Senior Solutions Architect at Dell Brazil helping enterprise customers design and adopt modern data, analytics, and AI solutions—including data warehouses, lakehouses, GenAI, and RAG—through discovery, architecture, demos, and POCs.
The Lead Software Engineer will design and deliver services for an engineering-intelligence platform, focusing on backend APIs, data pipelines, and AI-assisted development workflows. The role involves building scalable, secure, and cloud-native solutions using Java, Python, and AWS technologies within a regulated financial environment.
Lead Software Engineer building a Data & AI Platform for JPMorgan Chase's Payments Technology team—designing scalable data pipelines with Spark, Airflow, Kafka, Flink, and Databricks, and leading an Agentic AI initiative for automated lakehouse operations.
This role involves managing the end-to-end security data pipeline and developing detection content to identify malicious activity. The engineer will onboard log sources, normalize telemetry, and build high-fidelity alerts using tools like Splunk and log routing platforms.
The Senior Manager, AI & Data Engineering leads teams in building and operating governed data products and AI-ready platforms to support enterprise analytics and decision-making. This role oversees strategy and execution for cloud-native data ecosystems using AWS technologies to drive business outcomes.
Build and maintain Allstate’s Microsoft Fabric data platform, designing Bronze-to-Gold pipelines, dimensional models, and Power BI semantic layers to power insurance analytics, Copilot-ready reporting, and regulatory compliance.
Principal Data Engineer designs and owns Blattner’s Microsoft Fabric-based data lakehouse, mentors the team, and builds pipelines from 30+ enterprise systems.
On-site Senior Data Engineering Manager at a healthcare company building and owning a modern semantic data platform and knowledge graph, while hands-on developing agentic AI solutions (LLMs, RAG, multi-agent orchestration) across enterprise business systems.
The VP of Data Engineering for People Analytics will design and maintain an enterprise-grade data platform and lakehouse architecture to support workforce analytics and AI-driven insights. The role involves building scalable data pipelines, establishing governance frameworks, and collaborating with cross-functional teams to ensure reliable, AI-ready workforce data.
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