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Is it surprising to hear that a financial institution of 1.5 million members and over $30 billion in managed assets say that success comes from focusing on people, not profits? Our “people helping people” philosophy…
Lead Data Engineer designing, building, and scaling data pipelines, APIs, and AI-ready data solutions for Fitch Group’s financial services platform. Focuses on cloud (AWS), data governance, and AI/ML tooling (LLMs, RAG, vector databases) to empower business decisions.
The Role Morningstar DBRS is seeking a Manager, Data Quality & Controls to lead the development and execution of the enterprise data quality and controls program. Reporting to the Senior Director, Data Products,…
Design, build, and operate modern data platforms, lakehouse architectures, and scalable data pipelines using Python, SQL, Databricks, Snowflake, and cloud platforms (Azure/AWS/GCP) to enable analytics and AI-driven use cases for enterprise clients.
The Lead Data Governance SME will drive enterprise-wide data governance, quality, and metadata management initiatives on GCP platforms. The role involves defining governance policies, implementing Dataplex and data lineage frameworks, and ensuring regulatory compliance for BigQuery-based environments.
The Senior Data Architect will lead the design and delivery of modern data platforms, acting as a Databricks champion to guide engineering teams and support pre-sales activities. The role involves creating scalable data architectures, defining best practices, and communicating complex solutions to senior client stakeholders.
Senior Data Platform Engineer responsible for managing and evolving PMI's data infrastructure—data catalog, quality, lineage, and observability components—on AWS using tools like Snowflake, Databricks, dbt, Terraform, and CI/CD pipelines.
Senior Data Engineer at Publicis Groupe designing and building enterprise-scale cloud data platforms—lakehouse architectures, ingestion pipelines, governance, and AI/LLM-enabled data services—using Python, SQL, Spark, and AWS or Azure.
The Senior Data Engineer will design and build enterprise-scale, cloud-native data platforms while integrating AI and LLM-based solutions. The role involves a mix of hands-on engineering, technical architecture design, and leadership across data ingestion, lakehouse architectures, and governance.
Senior Data Engineer at EY designing, building, and operating enterprise-scale AWS Lakehouse platforms using Spark, dbt, Iceberg, and QuickSight to deliver analytics, reporting, and AI-ready data solutions for clients.
Architect and lead data platform solutions—Bronze/Silver/Gold pipelines, ingestion, orchestration, and governance—using Azure or AWS cloud data services, Kubernetes, Python, and SQL/NoSQL at a maritime technology company.
Data Engineer & Analyst at RBC leading data analysis and pipeline design for the Climate Data Strategy portfolio, bridging business requirements and tech delivery using Python, PySpark, and SQL.
Build and maintain climate-risk data pipelines and models for a large bank, translating ESG and regulatory needs into Python/Spark pipelines and specs for engineering teams.
Lead Solution Architect defining end-to-end data and metadata platform architecture, designing canonical data models, ETL/ELT pipelines, and GenAI/LLM-based solutions with GCP cloud experience.
Design and lead the build-out of a modern, real-time data platform for a large bank’s transaction banking unit, using Databricks, Spark, Kafka, and Azure to power analytics, AI, and regulatory reporting.
Senior Data Governance Consultant implementing data governance policy, data catalogs, metadata/lineage documentation, and DCAM maturity tracking across business units at a Canadian asset servicing firm.
Designs and leads a scalable platform architecture for AI, robotics, and industrial data workflows, focusing on data ingestion, validation, transformation, and runtime execution. Shapes APIs, event-driven services, security, and integration patterns for cross-functional teams.
Senior Data Governance Analyst supporting Teranet's Data and AI Governance Program—operationalizing policies, standards, controls, metadata/catalogs, DSPM, and compliance using tools like SQL, Python, Microsoft Purview, Collibra, and frameworks such as DAMA-DMBOK and NIST AI RMF.
Senior Data Governance Analyst supporting Teranet's Data and AI Governance Program, ensuring enterprise data is trusted, protected, and effectively managed across its lifecycle using data catalogs, metadata management, and governance automation tools.
Data Security & Governance Analyst on a 6-month hybrid contract protecting and governing enterprise data assets on a public sector analytics platform, primarily using Databricks Unity Catalog, Microsoft Purview, and access governance controls.
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