Enterprise Data Architect

Paladin Consulting; Dallas (TX); On-site; USD 180,000 - 240,000; Full time

Job summary

Paladin Consulting is seeking a hands-on Sr. Solution Architect to lead end-to-end architecture across Data, Analytics, and AI.

The architect will design and guide enterprise data platforms, data products, lakehouse architecture, and AI/ML capabilities while partnering closely with engineering, data science, infrastructure, and business teams to deliver scalable data products and governance. The ideal candidate has deep experience with Snowflake, Microsoft Fabric or Azure Synapse, Power BI, and

Qualifications

• 15+ years in data engineering, architecture, analytics, or related technology disciplines.
• 5+ years hands-on Snowflake architecture and engineering experience.
• AI/ML architecture experience with data infra, RAG, vector stores, embeddings, or MLOps.
• Experience with Microsoft Fabric or Azure Synapse Analytics.
• Enterprise-scale data lakehouse and data product experience.
• Strong Power BI architecture and semantic modeling experience.

Responsibilities

• Own end-to-end architecture for data, analytics, and AI platforms.
• Lead architecture across Snowflake, Microsoft Fabric, Azure, and Power BI.
• Design scalable lakehouse, data products, ingestion, and integration architectures.
• Define architecture for AI/ML workloads including RAG, vector stores, embeddings, feature engineering, and MLOps.
• Establish architectural standards, governance, security, and best practices.
• Partner with engineering, data science, infrastructure, application development, and business teams.
• Provide technical leadership, architecture reviews, and mentorship.

Skills

Data engineering

Data architecture

Analytics

AI/ML architecture

Snowflake

Azure Synapse Analytics

Power BI

ETL/ELT pipelines

Data governance

Security and data quality

MLOps

Leadership

Tools

Snowflake

Microsoft Fabric

Azure Synapse Analytics

Power BI

dbt

Kafka

Azure Event Hubs

Purview

MLOps tooling

Job description

Experience: 15+ years

Position Summary

Seeking a hands-on Sr. Solution Architect to lead end-to-end architecture across Data, Analytics, and AI. The architect will design and guide enterprise data platforms, data products, lakehouse architecture, and AI/ML capabilities while partnering closely with engineering, data science, infrastructure, and business teams.

Mandatory Requirements

• 15+ years of experience in data engineering, data architecture, analytics, or related technology disciplines.
• 5+ years of hands-on Snowflake architecture and engineering experience — REQUIRED.
• Strong AI/ML architecture experience — REQUIRED, including experience with AI/ML data infrastructure, RAG, vector databases, embeddings, or MLOps.
• Strong experience with Microsoft Fabric or Azure Synapse Analytics.
• Enterprise-scale data lakehouse architecture and data product experience.
• Strong Power BI architecture and semantic modeling experience.
• Experience designing modern ETL/ELT data pipelines using technologies such as Azure Data Factory, Fabric Data Factory, or dbt.
• Experience with data governance, security, data quality, metadata, lineage, and enterprise architecture.

Key Responsibilities

• Own end-to-end architecture for data, analytics, and AI platforms.
• Lead architecture across Snowflake, Microsoft Fabric, Azure, and Power BI.
• Design scalable lakehouse, data product, ingestion, and integration architectures.
• Define architecture for AI/ML workloads, including RAG, vector stores, embeddings, feature engineering, and MLOps.
• Establish architectural standards, governance, security, and best practices.
• Partner with engineering, data science, infrastructure, application development, and business teams.
• Provide technical leadership, architecture reviews, and mentorship.

Preferred

• TOGAF certification or enterprise architecture framework experience.
• Experience in construction, facilities management, building services, or related industries.
• Experience with Kafka, Azure Event Hubs, Microsoft Purview, dbt, Monte Carlo, or Great Expectations.