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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data architecturedata governancedata ingestiondata transformationdata storagedata analyticsdata pipeline developmentdata quality monitoringmetadata strategiesDevSecOps

Soft Skills

leadershipcommunicationcustomer supportproblem-solvingcollaboration

Certifications

Top Secret (TS) clearanceSCI eligibility