Data Engineer at Pruna AI merging data engineering, analytics engineering, and revenue operations. Working on intelligent automation and analytics for accessible and sustainable AI.
About the role
- Senior Data Architect delivering, enhancing, and adopting enterprise data and analytics products for DoD organizations. Collaborating with teams to translate requirements into scalable solutions for national security outcomes.
Responsibilities
- Develop and implement enterprise-level data strategies and architectures to enhance data acquisition and transformation.
- Design and build data governance architecture, ensuring alignment with security and compliance requirements.
- Communicate data architecture approaches effectively to stakeholders and ensure adoption across teams.
- Lead the design, build, and maintenance of core data infrastructure and pipelines for the platform.
- Ensure scalability, reliability, and security of the data platform through automated end-to-end data pipelines.
- Implement data quality monitoring tools and processes to ensure data accuracy and consistency.
- Optimize data infrastructure for performance and scalability, planning for future growth.
- Document data pipelines, data models, and governance policies to ensure clarity and compliance.
- Provide direct assistance to customers, addressing inquiries and resolving technical issues.
- Monitor service level agreements (SLAs) and provide regular reports on performance.
- Develop and maintain training materials and a centralized knowledge repository for data operations.
- Establish and maintain a robust data governance framework, including policy development and compliance enforcement.
- Manage user access and permissions for data tools, ensuring security and compliance.
- Collaborate with cross-functional teams to enhance customer success and outreach initiatives.
- Conduct root cause analysis for recurring issues and implement solutions to prevent future occurrences.
- Proactively communicate with customers regarding known issues and new features.
Requirements
- Active Top Secret (TS) clearance with SCI eligibility
- Bachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, or related technical discipline and 8–12 years of relevant experience OR Master’s degree in a related field and 6–10 years of relevant experience
- Minimum of 8 years of experience in data architecture, engineering, or related roles
- Proven experience in designing and implementing data governance frameworks
- Experience designing enterprise-scale data architectures in cloud environments (e.g., AWS, Azure, or GCP)
- Experience designing and implementing data ingestion, transformation, storage, and analytics frameworks
- Experience defining enterprise data models, metadata strategies, and lineage documentation
- Experience integrating data architectures with DevSecOps pipelines and CI/CD processes
- Experience with data pipeline development and data quality monitoring
- Strong understanding of data management principles and best practices
- Strong leadership and communication skills
- Experience in customer support and engagement initiatives.
Benefits
- Health and Wellness programs
- Income Protection
- Paid Leave
- Retirement
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