MO-3-12-AWS Cloud Architect and Advisory )
Location: Durham, NC
Salary: USD 148, ,500.00
Posted: 2 weeks ago
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Information Technology
Industries: Staffing and Recruiting and Information Services
Required Qualifications
- Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
- At least 11 years of experience with Information Technology.
- Proven hands‑on experience in architecting solutions on Azure, Databricks and Spark.
- Proficiency in data engineering tools: Spark, Kafka, Airflow, SQL, Python.
- Strong understanding of retail or CPG data domains.
- Familiarity with vector search and semantic retrieval for retail use cases.
- Expertise in data privacy and compliance in consumer‑facing environments.
- Good experience in end‑to‑end implementation of data warehouse and data marts.
- Strong understanding of Data Warehousing concepts of Data Vault, Dimensional modelling, OLAP design.
- Extensive experience with CI/CD platforms such as GitLab CI, GitHub Actions, AWS CodeBuild, Azure Pipelines, and Jenkins.
- Experience designing and implementing complex solutions for distributed systems.
- Experience in leading and mentoring teams.
Preferred Qualifications
- Experience in Relational Modeling, Dimensional Modeling and Modeling of Unstructured Data
- Familiarity with log and monitoring solutions
- Experience in utilizing development containers, unit testing/code quality review/linting - standard best practice
- Good understanding of Agile software development frameworks
- Strong communication and Analytical skills
- Ability to work in teams in a diverse, multi-stakeholder environment comprising of Business and Technology teams
- Experience and desire to work in a global delivery environment
- Experience with Generative AI frameworks: OpenAI, Hugging Face, LangChain
- Knowledge of Model Context Protocol (MCP) or similar AI integration standards.
- Experience and detailed knowledge with Master Data Management, ETL, Data Quality, metadata management, data profiling, micro-batches, streaming data loads