Data Engineer / Data Scientist

Description

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 will lead the development of a centralized data storefront and enterprise analytics ecosystem, leveraging modern data architectures and platforms such as Palantir Foundry, Army Vantage, enterprise databases, and ServiceNow integrations.

The selected candidate will function as a technical leader responsible for integrating enterprise data into operational workflows, enabling organizations to transform raw data into actionable insights that support mission and business decision-making. The ideal candidate is a self-directed technologist capable of operating with minimal oversight, conducting deep discovery sessions with stakeholders, and researching innovative approaches for operationalizing enterprise data across workflow platforms.

This position bridges data engineering, analytics development, and workflow automation, enabling enterprise systems such as ServiceNow to leverage advanced analytics capabilities for operational support.

Data Architecture & Engineering

• Design, develop, and maintain scalable data architectures, pipelines, and data integration frameworks to support analytics, reporting, and operational workflows across enterprise systems.
• Develop and implement a centralized data storefront or enterprise data marketplace enabling users to discover, access, and operationalize enterprise 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.

Platform Integration

• Integrate enterprise data platforms with ServiceNow workflows, dashboards, and automation capabilities to support operational decision-making.
• Leverage Palantir Foundry, Army Vantage, or similar enterprise analytics platforms to build operational analytics and decision-support capabilities.
• Enable enterprise workflow platforms such as ServiceNow to consume and operationalize enterprise data through APIs, integrations, and automated pipelines.

Discovery & Data Strategy

• 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.

Data Analytics & Decision Support

• 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 where applicable
• Collaborate with developers, architects, cybersecurity teams, and product owners to integrate analytics capabilities into enterprise systems.

Technical Leadership

• 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.

Requirements

Required Qualifications

• Bachelor’s degree in Data Science, Computer Science, Engineering, Information Systems, or related technical discipline.
• 5–10+ years of experience in data engineering, data science, enterprise analytics, or data platform development.
• Strong experience with enterprise database technologies, including: SQL, PostgreSQL, Oracle, Snowflake or similar data platforms
• Experience with Palantir Foundry, Army Vantage, or similar enterprise data analytics platforms.
• Experience designing and implementing: Data pipelines, ETL / ELT processes, Data integration architectures.
• Demonstrated experience developing data storefronts, data catalogs, or enterprise data marketplaces.
• Experience integrating enterprise data platforms with ServiceNow or other enterprise workflow platforms.
• Strong experience leading technical discovery sessions and data architecture design engagements.
• Ability to operate independently within complex or ambiguous technical environments.

Preferred Qualifications

• Experience implementing ServiceNow integrations, APIs, or data-driven workflow automation.
• Experience working with cloud-based data platforms including: AWS, Microsoft Azure, and Google Cloud Platform
• Experience with data governance, metadata management, and data lineage frameworks.
• Knowledge of DevSecOps practices and automated data pipeline deployment.
• Experience with modern data engineering tools and frameworks including: Python, Apache Spark / PySpark
• Modern data orchestration frameworks
• Experience supporting federal government or Department of Defense programs.
• Possession of CompTIA Security+ or equivalent certification to meet DoD 8570 administrative requirements.
• Active Secret security clearance preferred.