Senior Data Architect

Role Overview

• 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.

Tech Stack

• AWS
• Azure
• Cloud
• Google Cloud Platform
• TypeScript

Benefits

• Health and Wellness programs
• Income Protection
• Paid Leave
• Retirement