Senior Azure Cloud Engineer

AIPPY Technologies
- Intelligence Behind Smart

Bridging the digital and physical worlds.

AIPPY Technologies helps organizations design and implement digital, data, IoT, and AI strategies that transform how they innovate, operate, and scale. We enable the next generation of smart manufacturing, transportation, and infrastructure by bringing digital intelligence to the core of real-world systems.

At AIPPY, we combine deep industry expertise with advanced technology capabilities to help organizations modernize operations, unlock real-time insights, and build resilient, data-driven ecosystems. From strategy through execution, we guide our clients in adopting the platforms, architectures, and AI-driven models needed to accelerate innovation and deliver measurable business impact - not experiments, not hype.

We don’t just build AI. We change how the business runs.

Role Description (1099, W2)

Sr Azure Cloud Engineering Consultant
- Modern Data Platform

Role overview

AIPPY is seeking a Senior Azure Cloud Engineering Consultant to architect, design, build, and secure the Azure cloud foundation that clients' modern data platforms run on:
Microsoft Fabric, Azure Databricks, Delta Lakehouse, and One Lake.

Location:

Remote / Hybrid

Employment type:

Contract

Works with: client cloud, network, security and data engineering teams; data engineers, architects and engagement leads

This is a cloud engineering role, not a data engineering role. You own landing zones, networking, identity, security, infrastructure as code, CI/CD, and platform operations, so data engineers can build pipelines on a secure, automated, production-ready platform from day one. You will lead this work across several client engagements, advising on architecture and then building it hands-on.

Key responsibilities

• Define target-state Azure cloud architectures for client data platforms, covering Fabric, Databricks, storage, networking, identity, security and operations.
• Apply the Azure Well-Architected Framework (reliability, security, cost, operational excellence, performance) and run architecture reviews against it.
• Lead and support architecture decisions such as single vs. multi-region, workspace and capacity topology, shared vs. dedicated networking, and Fabric vs. Databricks workload placement,.
• Design for scale, multi-tenancy and data residency across business units, environments and regions.
• Produce reference architectures, high-level and low-level designs, and architecture decision records (ADRs).
• Plan migration and modernization paths from on-prem and legacy cloud data platforms to Azure.
• Partner with client enterprise architecture and security teams to secure design approvals and align with their standards.
• Build reusable architecture patterns and blueprints for the practice.

Cloud foundation and landing zones

• Assess client Azure estates and design data-platform landing zones aligned to the Cloud Adoption Framework.
• Build management group hierarchies, subscription models, Azure Policy guardrails, tagging and naming standards.
• Design environment strategy (dev / test / prod) and resource organization for Fabric capacities, Databricks work spaces and storage.

Networking

• Implement private networking for data services:
  Databricks VNet injection and secure cluster connectivity, Private Link for ADLS Gen2, Key Vault and Databricks, and Fabric private links and managed private endpoints.
• Own private DNS zone design and resolution across hub, spokes and on-prem.

Identity and access

• Implement Microsoft Entra n, managed identities, service principals and workload identity federation.
• Design least-privilege RBAC across Azure, Fabric work spaces and Databricks, including SCIM provisioning and Unity Catalog account-level setup.
• Apply Conditional Access and privileged…