Solution Architect

Info Dinamica Inc
Jersey City, United States of America
6 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Jersey City, United States of America

Tech stack

Artificial Intelligence
Azure
Google BigQuery
Data Architecture
Data Governance
Data Integration
ETL
Data Vault Modeling
Distributed Systems
Python
Enterprise Messaging Systems
Meta-Data Management
MongoDB
MySQL
RabbitMQ
Redis
Azure
SQL Databases
Talend
Data Storage Technologies
Snowflake
Caching
Event Driven Architecture
Kubernetes
Information Technology
Kafka
Azure
Data Pipelines
Key Vault
Databricks

Job description

  • 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., * 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.

Requirements

  • 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.

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