The ad says“Strong exposure to AI/ML data pipelines and analytics platforms”
The ad says“Strong experience designing integration architectures including event-driven systems, API gateways, and service mesh patterns at enterprise scale”
The ad says“Cloud Platforms (AWS, Azure, GCP)”
The ad says“Cloud Platforms (AWS, Azure, GCP)”
The ad says“DevOps & DataOps — CI/CD Pipelines (GitHub Actions, Azure DevOps), Containerization (Docker, Kubernetes), Infrastructure-as-Code (Terraform)”
The ad says“API Design, ETL/ELT, Middleware & Integration Platforms (Boomi, MuleSoft, Informatica)”
The ad says“Experience with DevOps toolchains (CI/CD, containerization, IaC) and applying those practices to data and integration pipelines”
The ad says“Experience with DevOps toolchains (CI/CD, containerization, IaC) and applying those practices to data and integration pipelines”
The ad says“8+ years of experience in Data Strategy, Data Engineering, Integrations, or Enterprise Data Architecture”
The ad says“Proven experience leading MDM implementations and enterprise data governance programs”
The ad says“8+ years of experience in Data Strategy, Data Engineering, Integrations, or Enterprise Data Architecture”
The ad says“DevOps & DataOps — CI/CD Pipelines (GitHub Actions, Azure DevOps), Containerization (Docker, Kubernetes), Infrastructure-as-Code (Terraform)”
The ad says“8+ years of experience in Data Strategy, Data Engineering, Integrations, or Enterprise Data Architecture”
The ad says“Strong experience designing integration architectures including event-driven systems, API gateways, and service mesh patterns at enterprise scale”
The ad says“Cloud Platforms (AWS, Azure, GCP)”
The ad says“DevOps & DataOps — CI/CD Pipelines (GitHub Actions, Azure DevOps), Containerization (Docker, Kubernetes), Infrastructure-as-Code (Terraform)”
The ad says“Experience with DevOps toolchains (CI/CD, containerization, IaC) and applying those practices to data and integration pipelines”
The ad says“API Design, ETL/ELT, Middleware & Integration Platforms (Boomi, MuleSoft, Informatica)”
The ad says“8+ years of experience in Data Strategy, Data Engineering, Integrations, or Enterprise Data Architecture”
The ad says“Integration Architecture — Event-Driven Design, API Gateway Management, Microservices & Messaging Patterns (Kafka, MQ)”
The ad says“DevOps & DataOps — CI/CD Pipelines (GitHub Actions, Azure DevOps), Containerization (Docker, Kubernetes), Infrastructure-as-Code (Terraform)”
The ad says“Proven experience leading MDM implementations and enterprise data governance programs”
The ad says“Integration Architecture — Event-Driven Design, API Gateway Management, Microservices & Messaging Patterns (Kafka, MQ)”
The ad says“API Design, ETL/ELT, Middleware & Integration Platforms (Boomi, MuleSoft, Informatica)”
The ad says“SQL, Python, and Modern Data Stack Tools”
The ad says“Strong experience designing integration architectures including event-driven systems, API gateways, and service mesh patterns at enterprise scale”
The ad says“SQL, Python, and Modern Data Stack Tools”
The ad says“DevOps & DataOps — CI/CD Pipelines (GitHub Actions, Azure DevOps), Containerization (Docker, Kubernetes), Infrastructure-as-Code (Terraform)”
We are seeking an experienced Principal – Data Integrations, AI & Data Strategy to lead enterprise data integrations & strategy, master data management (MDM), AI-driven data integrations and automation initiatives. This role requires a strategic thinker with strong technical depth and leadership capability to drive scalable, secure, and AI-ready data ecosystems across the organization
Design and govern end-to-end Integration Architecture, defining standards for event-driven design, API lifecycle management, microservices communication patterns, and enterprise messaging frameworks
Lead and execute enterprise Data Integrations Strategy, aligning data architecture, governance, and operations initiatives with business objectives
Own and optimize Master Data Management (MDM) frameworks to ensure data quality, consistency, governance, and regulatory compliance
Drive AI enablement by building AI-powered systems integrations, building MCP servers with applications, integrating AI/ML tools, and supporting AI solutions deployment
Architect and oversee complex system integrations, including data quality and consistency across enterprise platforms (ERP, CRM, data warehouses, cloud systems) using modern AI-powered integration patterns and APIs
Establish and champion DevOps and DataOps practices, embedding CI/CD pipelines, automated testing, and infrastructure-as-code into data and integration delivery workflows
Manage cross-functional teams and stakeholders to deliver scalable, secure, and high-performance data and AI solutions
Benefits
Time away: In addition to generous paid time off, we recognize most major regional holidays.
Flexibility: Intapp provides a highly flexible work environment to help employees successfully juggle work, wellness, and personal obligations.
Wellness: Wellness is about being healthy and balanced in all areas of your life. We provide medical benefits for you and your family that offer quality, flexibility, and value.
Saving and investing: We offer a variety of savings and investment programs to help you plan for the future and reach your financial goals.
Family: We strive to be a great place to work for those with families. Benefits like paid parental leave, including adoptive leave, make it easier to take time off to welcome your new addition.
Growth: We offer a variety of trainings and opportunities to help you increase your knowledge, build new skills, and take charge of your career.
Preferred experience
Demonstrated leadership experience managing technical teams and enterprise-scale initiatives
Hands-on experience with system integrations (APIs, ETL/ELT, middleware, cloud-native integration platforms)
8+ years of experience in Data Strategy, Data Engineering, Integrations, or Enterprise Data Architecture
Proven experience leading MDM implementations and enterprise data governance programs
Strong experience designing integration architectures including event-driven systems, API gateways, and service mesh patterns at enterprise scale
Strong exposure to AI/ML data pipelines and analytics platforms
Experience with DevOps toolchains (CI/CD, containerization, IaC) and applying those practices to data and integration pipelines