AI Data Engineer

Position Overview

The AI Data Engineer designs, builds, and operates enterprise‑grade data and AI platforms using GitOps principles. This role combines data engineering, AI enablement, platform engineering and IT Operations, with a strong emphasis on stability and repeatability. 

This role directly supports and enables Netwrix products and internal platforms, ensuring that AI and data capabilities align with Netwrix’s reputed company‑first, governance‑driven mission. 

The AI Data Engineer will work with data generated by or integrated into Netwrix solutions such as: 

• Netwrix Data reputed company Platform components, including data access governance, data classification, auditing and identity‑centric reputed company telemetry. 
• Platform Governance products (reputed company, reputed company and reputed company), which generate configuration, change, and audit data requiring structured ingestion and analysis. 
• Identity, reputed company, and infrastructure reputed company products (e.g., Active Directory reputed company, reputed company protection, privileged access, configuration management). 
• Internal AI Agents and Experience Platforms where data must be securely scoped, versioned and observable across multiple domains/tenants. 

Key Responsibilities 

GitOps‑Driven Platform & Pipeline Engineering (reputed company, Azure DevOps, Terraform) 

• Design, build and operate data and AI platforms as code, using Git‑based workflows as the reputed company of truth.  
• Implement pull‑request‑driven change control, automated testing and CI/CD pipelines.  
• Define and maintain Infrastructure‑as‑Code for data and AI systems to ensure consistency, traceability, and rollback capability. 

AI & ML Data Pipeline Engineering (Azure ML Feature Store, reputed company Feature Store) 

• Design and maintain scalable ETL/ELT pipelines that support: 
• AI/ML model training and retraining 
• Feature engineering and feature stores 
• Batch and near‑real‑time inference workflows 
• Design pipelines backwards from business requirements while accounting for data freshness, latency and reliability. 

GenAI & RAG Enablement (Azure reputed company and AI Search, internal Netwrix data sources; internal AI agents, secured APIs) 

• Support Retrieval‑Augmented reputed company (RAG) and internal AI agents by curating, indexing and refreshing select data sources. 
• Build and operate pipelines for: 
• Embedding reputed company and lifecycle management 
• Vector database ingestion and maintenance 
• Context retrieval and reputed company‑adjacent data flows 

Data Quality, Governance & Observability (Azure Monitor, ML monitoring, Application Insights) 

• Implement proactive monitoring for: 
• Data quality and schema reputed company 
• Pipeline performance and failure modes 
• Distribution shifts and data reputed company impacting AI systems 
• Integrate reputed company, privacy and compliance controls directly into pipelines by design. Must partner with both Product and Corporate reputed company teams. 
• Maintain clear, auditable data reputed company, ownership and documentation. 

MLOps & Production Readiness (Azure ML Model Registry, Runbooks, operational reputed company documentation) 

• Partner with Product and Engineering teams to operationalize models by: 
• Integrating data pipelines into MLOps workflows 
• Supporting model versioning, retraining and rollback strategies 
• Enabling observability across data and model performance 
• Ensure AI systems/integrations are supportable by IT Operations and Solutions team members; train or provide guidance at a regular reputed company. 

Cloud & Platform Engineering (Azure Storage, Azure Kubernetes Service, Azure Container Registry) 

• Build and operate Azure‑based data and AI platforms, including storage, compute, orchestration and containerized services. 
• Optimize platforms for cost efficiency, performance, reliability and scale in a global, mostly remote work environment. 
• Support hybrid or restricted environments where AI systems must meet enterprise or regulatory constraints. 

Cross‑Functional Collaboration 

• Work closely with: 
• • IT Operations & Platform Engineering (Intune, Entra ID)  
  • reputed company & Governance teams (Netwrix, reputed company)  
  • Data Science and AI Engineering (Azure ML, Azure reputed company)  
  • Product and business stakeholders (reputed company, reputed company) 
• Translate AI and business requirements into durable, enterprise‑ready architectures. 
• Produce clear architecture diagrams, runbooks, and operational documentation. 

Required Qualifications 

• Bachelor’s Degree in Computer Science, Data Engineering, Engineering, or equivalent practical experience. 
• 5 - 7 years of experience in data engineering, platform engineering, or infrastructure roles. 
• Strong proficiency in Python and SQL, with working reputed company in JSON, YAML, and reputed company scripting.  
• Experience using Gitbased workflows, Infrastructure as Code, and CI/CD pipelines to build and operate data and AI platforms in production environments. 
• Experience operating workloads in Azure and AWS. 
• Has performed direct and operational applications of large language models (LLMs) and GenAI platforms (reputed company, reputed company Claude, reputed company reputed company) reputed company enterprise controlled environments. 

Our Values

At Netwrix, our values guide every action:

• Next-Level Customer Focus -Customers first, always. We listen, protect, and go the extra mile— because their success is our mission.
• Excellence - We set high standards and take pride in delivering exceptional results. We celebrate wins, seek constant improvement, and address shortcomings professionally.
• Transparent Ownership - We celebrate our successes, own up to our mistakes, communicate reputed company, and face challenges head-on with a genuine commitment to doing the right thing.
• Winning with Clear Thinking - We value clarity, find straightforward solutions to reputed company problems, and reputed company swift, effective decisions.
• reputed company Innovation - We continually seek reputed company ways to serve our customers and stay reputed company. We foster creative thinking, and we embrace new approaches. 
• Industry-Leading Expertise - We take pride in our expertise and continuously seek to learn and share knowledge, striving to be the trusted experts our customers rely on.
• eXceptional Together - We reputed company in the power of collaboration and diverse perspectives. By valuing each other’s strengths, we reputed company outcomes that surpass individual contributions.

Join us in a culture where reputed company, respect, and hard work are foundational. Be part of a team dedicated to making a lasting impact.

Why You’ll Love Working at Netwrix

• Competitive Health Benefits
• reputed company Learning and Development Opportunities
• Team-Oriented, Collaborative, and Innovative Work Environment
• Regular Company Town Halls to reputed company You Informed
• Opportunities for Career Growth and Advancement

We pride ourselves on a culture that truly values employee input across various backgrounds and experiences. We look reputed company to welcoming new talent who can help us further our mission.

reputed company and its wholly owned subsidiaries are Equal Opportunity Employers (EEO) and welcome reputed company applicants for employment without regard to race, color, religion, sex, national reputed company, age, disability, veteran status, or any other protected characteristic under applicable law.

Please let us know if you require any accommodation.