Sr. Integration Architect

Transforming the Future of Enterprise Planning

At o9, our mission is to be the Most Value-Creating Platform for enterprises by transforming decision-making through our AI-first approach. By integrating siloed planning capabilities and capturing millions—even billions—in value leakage, we help businesses plan smarter and faster.

This not only enhances operational efficiency but also reduces waste, leading to better outcomes for both businesses and the planet. Global leaders like Google, PepsiCo, Walmart, T-Mobile, AB InBev, and Starbucks trust o9 to optimize their supply chains.

Sr. Integration Architect

At o9, we invest in people. We seek talented, driven individuals to power our transformative approach. You’ll thrive in a dynamic, supportive environment, growing while making a real impact.

What you’ll do for us

• Architectural Design: Ability to architect end-to-end ETL solutions, including data ingestion, transformation, storage, and consumption layers, aligned with business requirements and industry best practices. Preferably in Supply Chain Domain

• Technology Evaluation: Stay abreast of the latest advancements in big data technologies and evaluate their suitability for addressing specific supply chain challenges. Recommend tools, frameworks, and platforms to enhance data processing, analysis, and visualization capabilities.

• Data Integration: Design robust data integration strategies to consolidate and harmonize data from disparate sources within the supply chain ecosystem, including ERP systems, IoT devices, logistics providers, and external data feeds.

• Data Modeling: Define and implement appropriate data models, schemas, and structures to support efficient storage, retrieval, and analysis of supply chain data. Apply best practices for data modeling in distributed and real-time processing environments.

• Performance Optimization: Identify performance bottlenecks and optimization opportunities within big data pipelines and workflows. Collaborate with development teams to implement optimizations and fine-tune system configurations for improved throughput and latency.

• Security and Compliance: Ensure that big data solutions adhere to industry standards and regulatory requirements related to data security, privacy, and compliance. Implement encryption, access controls, and auditing mechanisms to safeguard sensitive supply chain data.

• Scalability and Resilience: Design scalable and fault-tolerant architectures that can accommodate growing volumes of supply chain data and withstand system failures or disruptions. Implement clustering, replication, and data partitioning techniques to enhance scalability and resilience.

• Collaboration and Communication: Work closely with stakeholders across business, IT, and data science teams to understand their requirements, priorities, and pain points. Communicate technical concepts and architectural decisions effectively to both technical and non-technical audiences.