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Leads a global data platform team to build and scale enterprise-grade services for Addepar’s AI-driven financial data platform, focusing on lakehouse architecture, cloud infrastructure, and AI integration.
Design, build, and maintain scalable big data processing pipelines using Apache Spark, Databricks, and cloud platforms for an IRS project requiring MBI clearance and GFE.
Build and maintain Nomeco’s data pipelines, warehouse, and AI-ready data foundation using Azure tools, ensuring high-quality data for reporting, analytics, and predictive/generative AI solutions in healthcare logistics.
Builds and maintains data-driven solutions using Azure Databricks, PySpark, and SQL to enable business insights and decision-making for Arla Foods' innovation and consumer intelligence teams.
Designs and maintains scalable data pipelines and Lakehouse environments to support business intelligence and advanced analytics for a Fortune 1000 client.
Own web architecture and build the data platform on Microsoft Fabric using Spark, Python, and SQL at a gene therapy company, while guiding external web agencies and handling internal system integrations.
Senior Data Engineer developing and managing data platforms in Azure and Microsoft Fabric, working on datahub concepts like OneLake and Lakehouse architectures with SQL, PySpark, and Power BI, building ETL/ELT processes, advising on data architecture, and creating secure scalable solutions in a DevOps team.
Senior data engineer developing a modern dataplatform and AI environment, building scalable data solutions in Azure/Microsoft Fabric, managing data pipelines for batch/streaming and supporting AI applications.
Builds and maintains production-grade ETL/ELT pipelines, lakehouse architectures, and DevOps automation for enterprise clients in aviation, banking, and retail using Python, PySpark, SQL, and cloud platforms.
Design and build enterprise-scale Azure data platforms, data warehouses, and ETL/ML solutions using Databricks, Delta Lake, and Data Lakehouse architectures, covering infrastructure, governance, security, and CI/CD.
Builds and maintains a Snowflake-based data lakehouse, designing ETL/ELT pipelines, dbt models, and governance frameworks to unify trading, CRM, finance, and risk data for operational and regulatory reporting across a fintech firm.
Designs and builds scalable data pipelines and cloud data platforms to process high-volume financial transactions using Python, Spark, and AWS.
Designs and implements a Databricks-based data and AI platform, enabling LLM-powered analytics, RAG, and agentic AI workflows for governed data products and semantic layers.
We are seeking a visionary Director, Data Engineering to architect the "data set of the future." This role is not just about reporting; it is about building the scalable, AI-ready infrastructure that will fuel…
Designs and builds a high-performance data platform for an AI-driven cybersecurity product, handling petabyte-scale security telemetry with streaming and batch processing.
Embed data quality and Responsible AI controls into enterprise pipelines, models, and workflows to ensure governed, traceable, and audit-ready data for AI use cases.
Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical…
Develops architectures and integrations for Data LakeHouse platform projects, collaborates with customers and product teams, and creates technical documentation. Core technologies include Data LakeHouse, Cloud Spark, and OLAP systems.
Solutions Architect at Databricks designs and advocates for the Data Intelligence Platform, engaging with media and gaming customers to solve complex data challenges and drive adoption through technical expertise and workshops.
Designs and governs secure, compliant data platforms for a federal agency’s Azure cloud, setting standards for Lakehouse architecture, Zero Trust, and ATO-aligned security while optimizing cost and interoperability.
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