Solution Architect – Data Vault & AKS

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.