Big Data Engineer handling both internal and external stakeholders for data processing related to fraud and compliance at ING. Managing and transforming high volume data and working closely with project teams.
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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