Top Data & Analytics Jobs in New Orleans, LA

The Data Discipline Lead/Data Architect will be responsible for designing enterprise-level data architectures, leading data engineering initiatives, and mentoring teams. This role combines strategic oversight with hands-on coding, focusing on creating scalable and efficient data solutions that align with business goals while ensuring compliance and security standards are met.

Lead the implementation of a comprehensive data architecture strategy using AWS technologies, integrating Machine Learning, AI, and data streaming. Collaborate with cross-functional teams to design and deliver scalable data solutions while mentoring data engineering teams and establishing best practices for data governance and architecture.

As a Data Engineer, you will enhance and maintain data infrastructure, ingest new data from various sources, monitor and troubleshoot data pipelines, and work with stakeholders to translate business requirements into technical solutions, ensuring high data quality and adherence to governance policies.

As a KYC Investigations Analyst, you will manage CertiK's KYC badge product, conduct interviews to assess risks, perform investigations using OSINT, and provide customer service during the KYC process. You will document findings and evaluate project teams for quality and risks.

As a Senior Manager in Data and Analytics, you will lead projects to implement data strategies, build automation tools, and develop visualizations for clients. Responsibilities include project management, communicating business needs, and collaborating with stakeholders to drive data-driven transformations.

The Staff Data Engineer will collaborate with enterprise customers to design and optimize data pipelines, enhance ingestion architectures, and support proof-of-concept sales engagements. Responsibilities include optimizing data models and working closely with the platform engineering team.

The Data Architect will design and implement data architecture solutions to support business intelligence and analytics. Responsibilities include researching technologies, creating scalable architectures, collaborating with project teams, and assisting in data governance.