Agentic Data Platform Architect | Remote

Role: Agentic Data Platform Architect
Remote

We are seeking a hands-on Agentic Data Platform Architect to design and deliver enterprise-scale cloud data platforms and agentic data transformation capabilities that enable governed data modernization, analytics, automation, and Generative AI-enabled business workflows.
This role requires strong expertise in data architecture, cloud data platforms, data engineering, governance, AI enablement, APIs, integration patterns, and production platform operations.

Primary Responsibilities:
•  Design scalable cloud data platform architectures for ingestion, transformation, orchestration, semantic layers, data products, metadata, lineage, and governed analytics
•  Architect modern data platforms using Azure Data Lake, Azure Data Factory, Microsoft Fabric, Databricks, Snowflake, Delta Lake, dbt, Power BI, and related cloud-native services
•  Define standards for scalability, resiliency, performance, cost optimization, observability, release management, and production support
•  Guide implementation of data pipelines, transformation frameworks, orchestration workflows, APIs, reusable accelerators, data quality checks, and curated serving layers
•  Lead engineering practices for CI/CD, testing, deployment automation, performance tuning, workload optimization, integration, and operational runbooks
•  Agentic Data Transformation & AI Enablement:
•  Design agentic data workflows for business rule interpretation, data profiling, transformation recommendations, pipeline generation, validation, and operations support with human oversight
•  Define patterns for LLM integration, RAG, semantic search, vector stores, enterprise knowledge layers, tool-calling agents, and AI orchestration
•  Establish evaluation measures for accuracy, grounding, transformation quality, lineage, latency, cost, and operational reliability
•  Data Governance, Security & Compliance:
•  Implement governance capabilities including cataloging, metadata, lineage, data classification, stewardship, data quality, retention, and auditability
•  Design secure access patterns using RBAC, ABAC, row-level security, column-level security, masking, encryption, policy enforcement, and least-privilege principles
•  Partner with security, privacy, compliance, and risk teams to ensure data and AI solutions meet enterprise and responsible AI standards
•  Architecture Governance & Leadership:
•  Define reusable platform standards, reference architectures, decision records, and architecture governance processes
•  Mentor engineering and delivery teams on modern data platform practices and agentic AI enablement
•  Translate business outcomes into technical roadmaps, implementation backlogs, non-functional requirements, and success measures
•  You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:
•  Bachelor's or Master's degree in Computer Science, Engineering, Data Engineering, Data Science, Information Systems, AI, or related field
•  10+ years of experience in data engineering, data architecture, platform architecture, software engineering, or enterprise solution architecture
•  Experience designing and delivering enterprise-scale cloud data platforms, warehouses, lakehouses, data marts, or analytical data products
•  Hands-on expertise with SQL, Python, Spark, Databricks, Snowflake, Azure Data Factory, Microsoft Fabric, dbt, Delta Lake, or equivalent platforms
•  Experience with governance, metadata, lineage, security, data quality, access control, AI enablement, and production support practices
•  Preferred Qualifications:
•  Experience in healthcare, finance, corporate finance, risk, compliance, or other regulated business functions
•  Experience with enterprise data modernization, legacy ETL migration, finance transformation, or cloud migration programs
•  Familiarity with Microsoft Purview, Databricks Unity Catal