What are the responsibilities and job description for the AWS Data Architect - W2 ONLY position at Neo Prism Solutions LLC?
Responsibilities:
• Responsible for requirements gathering, overall initial design of system with focus on Business Workflow Processes, Web UI, STEP-side integrations and complex business rules.
• Interact with the business team to understand the requirements and existing gaps to convert the business requirements to the technical requirements specification
• Exp to implement Product MDM and Customer MDM using Stibo Systems Enterprise Platform (STEP) cloud and on prem environments
• Conduct feasibility studies and report any gaps in the current platform, application and business requirement specifications and suggest process improvements
• Responsible for understanding the design and configurations of the STEP Components and the underlying reasoning for the design.
• During Build, available to support business and build teams and answer questions/provide guidance on best practices and advanced STEP functionality.
• Provides support during testing as needed.
What will this person be working on
The candidate will primarily work on Projects & Initiatives to deliver Solution Architectures and Design Patterns for data platforms & product scope and requirements, delivering ARB deliverables and obtaining approvals from the Enterprise Architecture Review Board.
Position Success Criteria (Desired) - 'WANTS’
Qualifications:
• BA/BS in information technology, computer science, mis or related field or equivalent work experience.
• 15 years of experience designing or configuring complex enterprise grade cloud & big data systems and/or applications.
• 10 years relational & no-sql database architecture and design.
• demonstrates a strong technical aptitude of multi‐tier and cross‐platform architectures across the enterprise
• in‐depth knowledge of design requirements.
• strong ability to define systems and integration models.
• strong ability to act as a technical expert addressing problems relating to systems integration, compatibility, and multiple platform integration.
• strong understanding in the information technology landscape ‐ stretching from infrastructure, network, client, server, emerging technology standards and trends.
• strong understanding and working knowledge of software engineering, software development, solution architecture and implementation of medium to large scale systems across multiple platforms.
1. Ability to translate technical concepts into business value and business requirements into technical capabilities, manage expectations, and collaborate effectively across business and technical teams.
2. Experience with cloud platforms (preferably AWS), cloud-native architecture, and cloud services related to data (e.g., serverless services, scalable compute & storage, data lakes, cloud databases, data warehouses, etc.).
3. Expertise in designing APIs and data integration platforms (ETL/ELT tools), microservices, data mesh, data fabric, and streaming, middleware to enable seamless data flow between systems while practicing data governance and security.
4. Experience in architecting & delivering transactional and analytical data solutions including ML and AI solutions using waterfall and agile methodologies (preferably SAFe).
5.Excellent articulation, documentation, presentation, and communication skills exercised in preparing solution architecture diagrams, documents, and engaging enterprise architecture teams for reviews/approvals.
