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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Data Platform & AI Architect-5 - **Company:** Realign Llc - **Location:** United States (Remote available) - **Salary:** $150,000.0 - **Contract:** Permanent contract - **Skills:** Active Directory, Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Confluence, JIRA, Cloud Computing, Cloud Database, Databases, Continuous Integration, Data Architecture, Data Discovery, Information Engineering, Data Governance, Data Infrastructure, Graph Database, Identity and Access Management, PostgreSQL, Metadata, Metadata Repositories, Neo4j, Oracle Databases, Oracle (Applications), Software Architecture, Enterprise Data Management, Apache Spark, Caching, Data Layers, Data Lakes, Deployment Automation, Data Management, Virtual Agents, Oracle Cloud Infrastructure, Servicenow, Databricks - **Published:** September 27, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=256a63f221e58ec0 ## About the Role This is not a high-level cloud or program architecture role. The ideal candidate must demonstrate strong design thinking, hands-on lakehouse architecture, data governance, and AI-ready data architecture, and be able to explain architectural decisions and trade-offs in depth. Strong Databricks/Lakehouse experience with some exposure to OCI/AIDP is acceptable; deep OCI expertise is not mandatory., * 12+ years in Data Architecture, Data Engineering, Cloud/Data Platform Architecture, or similar roles. * Strong hands-on experience with Databricks and/or enterprise Lakehouse platforms. * Deep understanding of Medallion Architecture, Delta Lake/Iceberg, Spark, data products, Data Mesh, and federated data architectures. * Strong experience with data catalogs, metadata, lineage, data quality, data contracts, and governance. * Experience with PostgreSQL, Oracle Autonomous Database/ADW, or comparable enterprise databases. * Current hands-on understanding of Agentic AI, RAG, vector databases, knowledge graphs, semantic layers, and agent memory. * Knowledge of MCP and A2A integration patterns. * Experience with CI/CD, IaC, automated deployment, schema evolution, and environment promotion. * Working knowledge of OCI and Oracle AIDP; strong Databricks candidates with some OCI/AIDP exposure are welcome. * Excellent communication and architecture/design-thinking skills, with the ability to explain why a solution should be designed a particular way-not simply which tools to use. Preferred * Informatica IDMC / enterprise data catalog experience. * ServiceNow and enterprise IAM integration experience. * Neo4j or other graph database experience. * Vector databases such as pgvector, Pinecone, Weaviate, or similar. * Experience with LangGraph, Semantic Kernel, AutoGen, CrewAI, or similar Agentic AI frameworks. * Experience working with regulated or enterprise-scale data environments. ## Description We are looking for a hands-on Data Platform Architect to design and drive an enterprise Lakehouse that supports analytics, data products, and Agentic AI use cases., * Design enterprise Lakehouse architecture, including ingestion, Medallion pipelines, storage, processing, serving, governance, security, and observability. * Define scalable Bronze/Silver/Gold and AI-ready data layers for analytics and Agentic AI consumption. * Design federated data-access patterns, including compute pushdown, caching, performance, and domain ownership. * Establish data products, data contracts, metadata, lineage, data quality, schema evolution, and decentralized governance patterns. * Design self-service data discovery, access, approval, lifecycle, archival, and entitlement workflows. * Define automated schema evolution, mapping, CI/CD, asset bundling, and environment promotion patterns. * Architect AI-ready data capabilities using semantic layers, knowledge graphs, vector stores, RAG/Graph RAG, and agent memory. * Design MCP and A2A integration patterns connecting AI agents with enterprise data, applications, APIs, and workflows. * Integrate platforms such as Informatica IDMC, ServiceNow, PostgreSQL, Oracle databases, CRM, Jira, Confluence, and IAM/Active Directory. * Lead architecture discussions and align engineering, data, AI, governance, security, and business stakeholders through implementation. ## Related Videos - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [GitOps for the people](https://www.wearedevelopers.com/videos/461-gitops-for-the-people) - [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library) - [HTTP headers that make your website go faster](https://www.wearedevelopers.com/videos/1676-http-headers-that-make-your-website-go-faster) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) - [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray) ## Related Articles - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)