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Builds and maintains BI dashboards, reports, and AI/ML models for a federal court data platform, ensuring compliance and performance for 200+ courts.
Lead enterprise data and AI strategy, designing scalable data ecosystems and cloud-native platforms while guiding AI/ML initiatives and governance for digital innovation.
Leads the design and scaling of enterprise-grade data platforms to power AI and analytics at Coca-Cola, migrating legacy systems to cloud and enforcing data quality and governance.
Leads M&T Bank’s enterprise data engineering strategy, architecture, and modernization, overseeing platforms like Databricks and Snowflake to deliver scalable, compliant data capabilities that power analytics and AI-driven innovation.
Oversee data quality and governance for S&P Global’s foundational data systems, ensuring compliance and security standards are met.
Technical Data Architect Senior Data Architecture role at a fast-growing international fintech scale-up Hands-on AWS platform work across real-time pipelines, Redshift, Glue and modern data stacks Belfast, hybrid (2…
Leads enterprise-wide AI data governance, setting policies and standards to ensure trusted, secure, and compliant data for AI/ML use while embedding governance into data pipelines and analytics platforms.
Designs and builds scalable data pipelines and modern data warehouses using Microsoft Fabric, Azure, and Databricks to enable analytics and reporting.
Designs and maintains cloud data pipelines and analytics platforms for food and beverage processing plants using Azure, Databricks, and time-series databases.
Designs and implements enterprise-scale data architecture for a large transport business, ensuring scalable, secure BI and analytics across multiple countries using AWS, Databricks, and Snowflake.
Build and maintain core reference-data pipelines in Snowflake and AWS for a global investment bank, using Python, Airflow, and modern cloud-native tooling.
Leads enterprise-wide AI data governance and management, setting policies for data quality, privacy, and responsible AI use while collaborating with engineering, security, and compliance teams.
Designs and manages enterprise-scale data architectures for a major defence shipbuilder, ensuring secure, reliable data flows aligned with naval shipbuilding programs and compliance requirements.
Design and deliver enterprise-scale GCP data platforms for AI and analytics, building secure, scalable pipelines and governance frameworks for government or regulated clients.
Design, build, and maintain ETL pipelines that move and transform healthcare data, using SQL, Talend/SSIS, and cloud tools while leveraging AI-assisted coding.
Build and maintain scalable data pipelines and platforms for analytics and AI in healthcare and public-sector projects using Python, SQL, and cloud tools like AWS/Azure/GCP.
Build and scale a modern data platform for a MAS-licensed fintech bridging fiat and digital payments, designing pipelines, warehouses, and analytics to support cross-border transactions and business growth.
Build and optimize distributed filesystem components in C/C++/Rust for a cloud-native AI data platform handling 100s of PBs, focusing on performance, snapshots, replication, and data safety.
Lead the enterprise-wide Data Governance framework for a healthcare group, defining policies, ownership, and quality standards to ensure data is secure, reliable, and used strategically across the organization.
Designs and governs enterprise data models, pipelines, and integration patterns to power analytics and business capabilities using cloud platforms and modern data stack tools.
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