LMI is seeking a Data Architect/Infrastructure SME to support logistics ERP modernization and strategic data migration planning for the Enterprise Business System – Convergence (EBS-C) project. The goal is to reduce the current systems' footprint by shifting, removing, or improving master data support and requirements.
Requirements
- Knowledge of Amazon Web Services (AWS) cloud environment and / or designing data architecture in AWS or other cloud environments.
- 5+ years’ experience with Army, DoD or Commercial SAP implementation, sustainment and modernization of material and equipment master data.
- Understand data and systems architecture documents, business processes and how the data supports those processes.
- Experience with various data modeling and design tools (e.g. Snowflake, Redshift, DataBricks).
- Strong knowledge and / or hands-on experience with designing data architectures, using data governance frameworks and tools.
- Strong understanding of data warehousing methodologies, data modeling techniques, and overall data management.
- Working knowledge of SAP Business Warehouse (BW), ECC, Business Objects, and SAP Landscape Transformation (SLT).
Responsibilities
- Analyze existing data infrastructure, integration and interfaces to drive technology decisions to improve data structure, cleansing, and processing to efficiently reduce the existing system footprint and prepare for migration.
- Ensure the architecture to transport data from one source system to another is properly constructed, effective and efficient.
- Collaborate with subject matter experts to understand source data, usage, business rules and dependencies.
- Perform analysis to provide quantifiable and detailed cost estimations for potential alternate technologies or changes/upgrades to the current baseline system to realize efficiencies and cost savings.
- Apply architectural and technology concepts to address scalability, security, reliability, maintainability and sharing of enterprise data.
- Recommend strategies to optimize data storage, end to end processing, and system performance.
- Develop technical documentation on current interfaces and architecture to increase understanding of where data is stored, how it is currently received, and optimizing data exchange with other systems.
Other
- Active Secret Security Clearance.
- Security + certification.
- Bachelor’s degree in computer science, information systems, data engineering, or a related technical field or equivalent work experience.
- The ability to align the data architecture with organizational goal and strategies.
- Excellent analytical, critical thinking, and problem-solving skills.
