AI Data Architect

Signature IT World Inc; United States; On-site; USD 170,000 - 260,000; Full time

Benefits offered by this job

Remote work

Job summary

Signature IT World Inc. is seeking a hands-on Principal Data Platform & AI Architect to design an enterprise Lakehouse and Agentic AI capabilities for analytics and data products.

You will lead architecture discussions, drive data governance, and implement AI-ready data layers with Medallion architecture, Delta Lake, and vector stores. This role requires deep Databricks/Lakehouse expertise and OCI/AIDP exposure, with strong design-thinking.

Qualifications

• 12+ years in Data Architecture, Data Engineering, or similar roles.
• Strong hands-on Databricks and enterprise Lakehouse experience.
• Deep understanding of data contracts, metadata, lineage, and governance.

Responsibilities

• Design enterprise Lakehouse architecture including ingestion, pipelines, storage, processing and governance.
• Define scalable Bronze/Silver/Gold data layers for analytics and AI consumption.
• Design federated data-access patterns with compute pushdown and caching.
• Establish data products, metadata, lineage, data quality, schema evolution, and decentralized governance.
• Create self-service data discovery, access, lifecycle, archival and entitlement workflows.
• Define automated schema evolution, mapping, CI/CD, asset bundling and environment promotion.
• Architect AI-ready data capabilities using semantic layers, knowledge graphs, vector stores, and agent memory.
• Lead MCP and A2A integration patterns connecting AI agents with enterprise data and APIs.
• Integrate Informatica IDMC, ServiceNow, PostgreSQL/Oracle databases, CRM, Jira, Confluence, and IAM.
• Guide governance, security, and stakeholder alignment through implementation.

Skills

Databricks

Lakehouse

AI-ready data

Medallion Architecture

Data governance

RAG/ vector stores

Knowledge graphs

CI/CD

IaC

OCI/AIDP exposure

Data products

Agentic AI

Tools

OCI/AIDP

PostgreSQL

Oracle DB

Informatica IDMC

ServiceNow

Jira

Confluence

IAM/Active Directory

Job description

Job Role : Principal Data Platform & AI Architect – Lakehouse / Agentic AI

Location : USA-Remote

Experience: 12+ years

Platform: OCI/AIDP and/or Databricks

Role Overview

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.

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.

Key Responsibilities

• 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.

Required Skills

• 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

• 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.