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Solution Architect with Data Vault & AKS (Need Locals to NJ/NY for in-person Interview)

Jersey City, NJ, US • Posted 2 days ago • Updated 8 minutes ago

Contract Independent

Contract W2

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Job Details

Skills

Python
Azure
SQL
Key Vault
AKS
Azure Kubernetes
Data Architecture
solution design
Datavault

Summary

Role: Solution Architect Data Vault & AKS
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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91091604
Position Id: 2026-3777
Posted 2 days ago

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