Solution Architect with Data Vault & AKS (Need Locals to NJNY for in-person Interview)
Jersey, NJ - USA
Job Summary
Role: Solution Architect Data Vault & AKS
Location: Jersey City NJ (Onsite from Day 1) - Need Locals
Location: Jersey City NJ (Onsite from Day 1) - Need Locals
Duration: 6 Months Extension
Note: Need Locals to NJ/NY or nearby for In-person interview
Role Overview:
- We are seeking a highly skilled Solution Architect with expertise in Data Vault modeling and Azure Kubernetes Service (AKS).
- The architect will lead enterprise data architecture initiatives design scalable data solutions and drive cloud native modernization programs.
- This role requires strong technical leadership hands on architecture skills and the ability to translate business requirements into robust future ready solutions.
Key Responsibilities:
- Architect and implement Data Vault 2.0 models for enterprise data warehouses.
- Lead cloud native deployments on Microsoft Azure leveraging AKS for container orchestration.
- Define and optimize data integration strategies across multiple source systems.
- Provide architectural recommendations for data pipelines ETL/ELT frameworks and distributed systems.
- Ensure compliance with data governance security and regulatory standards.
- Mentor engineering teams on best practices in data modeling metadata management and observability.
Required Qualifications:
- 10 years of IT experience with strong background in data architecture and solution design.
- 5 years of experience in Data Vault modeling (Data Vault 2.0 preferred).
- 5 years of hands on experience with Microsoft Azure including AKS VMs Key Vault and App Gateway.
- Strong knowledge of ETL/ELT tools (Informatica Talend dbt or similar).
- Hands on experience with SQL Python and data pipeline orchestration.
Nice to Have:
- Experience with Snowflake Databricks or BigQuery.
- Familiarity with event driven architectures and messaging systems (Kafka RabbitMQ).
- Knowledge of Redis MongoDB MySQL for data storage and caching.
- Certifications in Microsoft Azure Kubernetes or Data Vault.
- Exposure to AI/ML services and intelligent automation frameworks.