ARES Enterprise is seeking a highly skilled Data Engineer / Data Scientist to support the design, discovery, and implementation of enterprise data platforms that enable advanced analytics and operational workflows. This role functions as a technical leader responsible for integrating enterprise data into operational workflows, transforming raw data into actionable insights.

What You'll Do

Design, develop, and maintain scalable data architectures, pipelines, and data integration frameworks to support analytics, reporting, and operational workflows.
Develop and implement a centralized data storefront or enterprise data marketplace enabling users to discover, access, and operationalize data assets.
Integrate multiple structured and unstructured data sources from enterprise systems, operational databases, and external platforms.
Ensure data architectures support data governance, lineage, quality monitoring, and enterprise data management standards.
Integrate enterprise data platforms with ServiceNow workflows, dashboards, and automation capabilities to support operational decision-making.
Leverage platforms such as Palantir Foundry or Army Vantage to build operational analytics and decision-support capabilities.
Enable enterprise workflow platforms to consume and operationalize enterprise data through APIs, integrations, and automated pipelines.
Lead technical discovery sessions with mission and business stakeholders to identify data sources, use cases, and operational requirements.
Translate mission or business requirements into data models, analytics frameworks, and data engineering pipelines.
Conduct independent research on best practices for enterprise data architecture, analytics enablement, and workflow platform integration.
Recommend improvements to enterprise data strategies, governance frameworks, and platform architecture.
Develop analytics dashboards, operational insights, and data products supporting leadership decision-making.
Enable advanced analytics capabilities such as predictive modeling, operational analytics, and digital twin simulations.
Collaborate with developers, architects, cybersecurity teams, and product owners to integrate analytics capabilities into enterprise systems.
Operate effectively in environments with limited direction and evolving requirements, delivering scalable technical solutions.
Provide technical leadership in data architecture design, integration strategies, and enterprise analytics platforms.
Support Agile development teams through architecture guidance, engineering oversight, and technical problem-solving.