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Lead data governance at a medical-device company, defining policies and standards for data quality, security, and compliance using tools like Microsoft Purview and Databricks Unity Catalog.
Design and build enterprise data warehouses, ETL/ELT pipelines, and BI dashboards for a global SaaS provider, ensuring clean, governed data across finance and supply-chain domains.
Lead the hands-on implementation of Atlan, a data catalog, for a Customer 360 initiative, including lineage validation, RBAC configuration, and AI-driven metadata enrichment to enable governed data discovery and adoption.
Data Governance Analyst ensures data quality and compliance within an Agile team, using Collibra to manage metadata, lineage, and business glossaries for workers' compensation systems.
Leads business process transformation and AI/data strategy for an Asset Management System, mapping workflows, defining requirements, and enabling predictive analytics to optimize asset lifecycle operations.
Design and enforce data governance policies, automate metadata tagging with AI tools, and ensure compliance for AWS-hosted data assets.
Senior Data Governance Analyst executes and supports enterprise Data Governance initiatives, creates governance documentation, performs data analysis, and leverages AI-powered tools for data classification and compliance. Requires experience with data governance platforms like Atlan, Collibra, or Alation, and hands-on AWS experience.
Principal Data Architect designs enterprise data models and AI-ready platforms for supply chain/logistics clients, setting standards and governance to accelerate AI adoption.
Entry-level role assisting senior engineers in building and maintaining government data pipelines, monitoring performance, and ensuring data quality using SQL, Python, and cloud platforms.
Design and own a cloud-scale data platform on Microsoft Fabric, building ETL pipelines, semantic layers, and AI-ready datasets for enterprise knowledge and retrieval.
Design and lead enterprise-scale data platforms using Databricks, AWS/Azure services, and modern architectures like Medallion and Data Mesh; pair with engineers to build production-grade data products.
Build and deploy AI-powered applications for financial clients using large language models, retrieval-augmented generation, and cloud platforms like Google Cloud.
Builds and optimizes scalable data pipelines using Python and Azure Databricks to process large datasets, integrate diverse data sources, and ensure data quality for financial services clients.
Build and maintain scalable data pipelines and analytics platforms using Microsoft Fabric, Spark, and Azure services to turn enterprise data into trusted insights for Microsoft’s operations.
Build and maintain scalable GCP data pipelines and analytics platforms for a digital banking project using BigQuery, Dataflow, and PostgreSQL.
Build and maintain data pipelines and ETL workflows using Palantir Foundry/Gotham to support government and defence analytics.
Lead the architecture of preclinical data systems at Bayer, designing models and metadata to enable faster, data-driven decisions in drug discovery and early development.
Enterprise Data Operations Senior Analyst Location: Plano, Texas, United States Overview Job Title: Enterprise Data Operations Senior Analyst (Multiple positions) Employer: PepsiCo Inc. Location: 7701 Legacy Drive,…
Designs and leads a modern data platform for an edtech product using Databricks, AWS, and Unity Catalog, migrating legacy pipelines and setting governance, quality, and cost controls.
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