Data Platform Expert developing and maintaining data solutions for analysis and reporting at Magna Electronics. Collaborating with various teams to enhance data - driven decision making and insights.
About the role
- Senior Data Architect Lead at Leidos developing enterprise data and analytics solutions for the Department of War. Collaborating with teams to implement data strategies and governance frameworks.
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 Advana 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
- Manage a team of 8-15 direct reports, providing guidance and support for their professional development
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 years of relevant experience OR Master’s degree in a related field and 6 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
- Demonstrated experience leading and mentoring technical teams
Benefits
- Competitive compensation
- Health and Wellness programs
- Income Protection
- Paid Leave
- Retirement
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