As a Data Integration Architect at Kearney, you will contribute to consulting project teams as they offer honest advice and practical guidance to our clients. Depending on each clients unique needs, projects can differ in length, size, and location, giving you unique, hands-on experiences across a range of industries and service practices.

About Kearney Activate :

Kearney Activate is the business acceleration and enablement arm of Kearney Management Consulting, helping clients accelerate transformation through Data and AI. Our Data & AI business line bridges strategy, technology, and execution to deliver data-driven, AI-enabled, and cloud-powered transformations. We partner with leading platforms such as Microsoft, AWS, Snowflake, Databricks and Nvidia to help organizations build trusted data foundations, deploy intelligent solutions, and scale innovation.

We operate across four key focus areas :

- Advisory & Assurance Services : Driving strategy, governance, and change management to ensure impactful transformation.

- Data Services : Building trusted, high-quality data foundations using Agentic AI across engineering, architecture, and governance.

- Insights Services : Unlocking value through analytics, data science, and AI-driven storytelling for better decision-making.

- Asset Services : Developing reusable GenAI assets, accelerators, and AI-powered solutions that push the boundaries of innovation.

Key Responsibilities :

We are seeking an experienced Data Integration Architect to help lead the regional design and delivery of next-generation, data for planning competency. This role is central to our transformation team as we embed planning data domains, remediation, validation, and platform integration activities across supply chain planning initiatives into the core of how we operate and deliver value to our clients. The role will focus on enabling trusted, Advanced Supply Chain Planning Systems (APS)-ready data flows from enterprise systems into planning platforms such as Kinaxis, O9, while also contributing to building reusable Data & AI assets & accelerators, including enterprise data engineering, platform integration, data architecture alignment, and AI/ML enablement through high-quality, governed data pipelines.

Who you are :

After nearly 100 years, we know this business is fundamentally about making connectionsbetween facts, figures, insights, strategies, tools, technologies, and above all, people. Thats why we look for collaborative, insightful, and inquisitive problem-solvers who dont accept the first thing in front of them and who are always unapologetically themselves.

We want to hear from you if you have the following skills :

Technologies & Concepts :

- Programming & Middleware : Python, SQL, MuleSoft, Informatica/Talend/Fivetran, or others

- Enterprise Integration Patterns : ETL/ELT, Event-Driven, MCP, Secure API architecture, user feedback loops, and/or MLOps/LLMOps Framework

- Data Engineering : Batch/Near-real-time ingestion pipelines, transformation logic, schema evolution, semi-structured data workflows

- Data Management : AI-Driven data mapping, transformation, source data reconciliation, DQ Rules, Validation, Integration Testing & Troubleshooting

Nice to Have :

- GenAI & Agentic Tools : RAGAS, Langfuse, LangGraph, Llamaindex, Vector Databases (FAISS, PGVector, Weaviate, AWS Bedrock, Azure AI Search)

- AI Architectures : Retrieval-Augmented Generation, In-Context Learning, Agent Design, Function Calling, LLM Fine-Tuning & Adaptation Strategies

Ideal Background :

- 10+ years of experience in data integration architecture and enterprise data delivery.

- Experience supporting supply chain, planning, manufacturing, or ERP-driven data initiatives.

- Hands-on experience with at least one or two major integration/data engineering tools.

- Proven experience designing enterprise-scale data ecosystems, defining data architecture standards, frameworks, and integration design specifications.

- Strong exposures to cloud data platforms (AWS/Azure/GCP), API & event-driven production-grade systems integration experience.

- Experience leading technical teams across all phases of the engagement lifecycle.

What we can offer you :

Every day, our people work to be the difference for our clients, our communities, and our colleagues. Helping them make an impact, they are sustained by a competitive remuneration package plus comprehensive benefits and perks, including but not limited to :

- Generous retirement/pension savings contributions

- Comprehensive medical insurance for employees and their families

- Structured and on-the-job learning and development opportunities

Personalized opportunities including talent mobility, flexible work programs and externships to help you chart a unique career journey to pursue your own personal and professional goals. Read more about our benefits and how you can make your mark, your way at Kearney.com/careers.

Equal employment opportunity and non-discrimination :

Kearney prides itself on providing a culture where our employees belong and thrive equally, which means our people feel comfort, confidence, and joy as they do great things for our firm, our colleagues, and our clients. Thats why Kearney is committed to building a diverse workforce and inclusive environment. Kearney is an equal opportunity employer; we recruit, hire, train, promote, develop, and provide other conditions of employment without regard to a persons gender identity or expression, sexual orientation, race or ethnicity, religion, age, national origin, disability, marital status, pregnancy status, veteran status, genetic information, or any other differences consistent with applicable laws. This includes providing reasonable accommodation for disabilities or religious beliefs and practices. We encourage everyone to apply, including those who may not feel historically represented in consulting.