Overview
Data Engineering Expert
We are seeking a forward-thinking Data Engineer to join our AI research team for ERP. This role is pivotal in designing and implementing the data foundation that enables intelligent agents, real-time and adaptive enterprise systems.
Responsibilities
- Design and implement scalable data lakehouse architectures using Delta Lake and Databricks.
- Support and contribute to the evolution of the Unit4's data platform and related initiatives.
- Define and enforce data lifecycle management, data contracts, and metadata standards.
- Design and develop real-time data pipelines and streaming architectures using Kafka, Spark Streaming, or Flink.
- Ensure data quality, lineage, and governance across structured and unstructured sources.
Semantic & Contextual Modeling
Model, develop and maintain ontologies and semantic models to support AI agents and context-aware data access and queries.Model business flows and relationships using knowledge graphs and contextual metadata (e.g., GraphRAG, LlamaIndex).Collaborate on the implementation of Model Context Protocol (MCP) and Agent2Agent (A2A) for agent interoperability.Ai Integration & Enablement
Enable AI agents to access, interpret, and act on ERPx data through well-structured APIs and semantic layers.Support the integration of AI / ML models into event-driven architectures, microservices and agentic systems.Collaborate with AI engineers to design AI workloads and meet AI requirements.Infrastructure & DevOps
Design cloud-native, scalable infrastructure for data serving AI workloads (Azure, AWS, GCP).Implement CI / CD pipelines for data using tools like Bicep, Airflow, Terraform.Ensure observability, monitoring, and compliance in data and AI systems.Collaboration & Leadership
Work closely with architects, data scientists, AI engineers, and product leads to align data architecture with business goals.Participate in design and architectural reviews, roadmap planning, and research cross-functional discussions.Mentor junior engineers and contribute to knowledge sharing across teams.This is an exciting opportunity to be part of one of the most exciting journeys in the cloud ERP software space.
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