Top Data & Analytics Jobs

Lead data engineering strategy and deliver a secure, scalable data platform for analytics and agentic AI. Architect lakehouse, streaming, retrieval, vector and feature stores, MCP servers, and governance for real-time AI consumption. Partner with Applied AI, Product, and Architecture, guide senior engineers, and ensure data quality, lineage, observability, and enterprise security for production AI systems.

Lead design and delivery of scalable data pipelines and platforms, manage and mentor a data engineering team, partner with business and analytics to translate requirements, enforce data quality, governance and security, and ensure operational stability and performance for analytics and AI use cases.

Lead design and implementation of an Analytic Foundation and scalable big-data services delivered via APIs. Build data pipelines, analytics and data models, responsive UIs, and production ML/data-driven applications. Ensure high-quality, well-tested code, mentor junior engineers, drive process improvements, and collaborate with product and design teams to deliver customer-focused data solutions.

The Manager of Data Integrations will oversee data reconciliations for SAP SuccessFactors, governance, compliance, and integration across various systems for sales compensation programs.

Design and implement scalable end-to-end data pipelines and storage schemas across cloud and on-prem platforms. Define reference architectures and engineering standards, ensure governance/security/compliance by design, optimize performance for large datasets, and mentor/lead global teams using Python/Java, SQL, Spark, Databricks, and related data platforms.

Design, build, and maintain enterprise-scale batch, streaming, and near-real-time data pipelines and platforms (Snowflake, Databricks, Spark). Ensure data quality, governance, security (PCI/PII), orchestration (Airflow, ADF, NiFi), secure file transfers, monitoring, and support for analytics and ML initiatives across global teams.