Principal Data Platform Architect

Riskonnect, Inc.; United States; On-site; USD 150,000 - 190,000; Full time

Job summary

Riskonnect, Inc. is seeking a Principal Data Platform Architect to lead the enterprise data platform strategy, standards, and long‑term technical direction across product teams.

You will shape scalable multi‑tenant architectures and governance, aligning with Enterprise Architecture and cross‑functional teams to enable AI-ready data services. You will drive architectural governance, design Star/Snowflake schemas, and partner with Security, Analytics, and DevOps to deliver trusted analytics and

Qualifications

• 12+ years designing enterprise data platforms.
• 5+ years leading cloud data architecture.
• Deep expertise in dimensional data modeling and SQL.
• Experience with scalable SaaS architectures, CDC technologies, and large-scale data pipelines.
• Strong knowledge of cloud security, governance, and enterprise analytics platforms.
• Ability to influence cross-functional engineering teams without direct authority.
• Excellent communication skills with both technical and executive audiences.

Responsibilities

• Own the enterprise data platform architecture and long‑term technical direction.
• Evolve and maintain enterprise standards for data ingestion, storage, transformation, semantic modeling, governance, security, and analytics.
• Refine and expand reusable architecture patterns and reference implementations across multiple SaaS product teams.
• Partner with Enterprise Architecture on roadmap and technology strategy.
• Lead architecture for Microsoft Fabric, OneLake, Lakehouse architecture, Bronze/Silver/Gold models, semantic models, Power BI, and AI‑ready data services.
• Establish architectural guidance for CDC, streaming, ELT, metadata, lineage, data quality, governance, and lifecycle management.
• Lead enterprise logical and physical data modeling, including Star and Snowflake schemas.
• Design scalable multi‑tenant architectures supporting customer‑specific schemas, custom fields, identity federation, Row‑Level Security, and tenant isolation.
• Drive architectural governance by reviewing major solution designs, ensuring adherence to enterprise standards, and balancing consistency with product team autonomy.
• Partner across Product Engineering, Product Management, DevOps, Security, Analytics, and Customer Success.
• Ensure the platform enables future AI capabilities including RAG, semantic search, vector‑ready architectures, and AI‑ready datasets.

Skills

Enterprise data platform design

Cloud data architecture leadership

Dimensional data modeling

SQL

SaaS architectures

CDC technologies

Large-scale data pipelines

Cloud security

Governance

Analytics platforms

Influence cross-functional teams

Executive communication

Job description

The Opportunity

Riskonnect is seeking an experienced Principal Data Platform Architect to lead the technical architecture of our next-generation enterprise data platform. The role focuses on shaping the architecture, standards, and technical direction of a platform that will become foundational to the company’s next generation of products.

• Own the enterprise data platform architecture and long‑term technical direction.
• Evolve and maintain enterprise standards for data ingestion, storage, transformation, semantic modeling, governance, security, and analytics.
• Refine and expand reusable architecture patterns and reference implementations across multiple SaaS product teams.
• Partner with Enterprise Architecture on roadmap and technology strategy.
• Lead architecture for Microsoft Fabric, OneLake, Lakehouse architecture, Bronze/Silver/Gold models, semantic models, Power BI, and AI‑ready data services.
• Establish architectural guidance for CDC, streaming, ELT, metadata, lineage, data quality, governance, and lifecycle management.
• Lead enterprise logical and physical data modeling, including Star and Snowflake schemas.
• Design scalable multi‑tenant architectures supporting customer‑specific schemas, custom fields, identity federation, Row‑Level Security, and tenant isolation.
• Drive architectural governance by reviewing major solution designs, ensuring adherence to enterprise standards, and balancing consistency with product team autonomy.
• Partner across Product Engineering, Product Management, DevOps, Security, Analytics, and Customer Success.
• Ensure the platform enables future AI capabilities including RAG, semantic search, vector‑ready architectures, and AI‑ready datasets.

Required Qualifications

• 12+ years designing enterprise data platforms.
• 5+ years leading cloud data architecture.
• Deep expertise in dimensional data modeling and SQL.
• Experience with scalable SaaS architectures, CDC technologies, and large‑scale data pipelines.
• Strong knowledge of cloud security, governance, and enterprise analytics platforms.
• Ability to influence cross‑functional engineering teams without direct authority.
• Excellent communication skills with both technical and executive audiences.

Preferred Experience

• Microsoft Fabric, OneLake, Power BI, Azure Data Services.
• Informatica, Salesforce, SQL Server, MySQL, Oracle.
• Azure DevOps, GitHub, Salesforce Platform, Data Cloud (Data 360), CRM Analytics.

Success in this Role

• Mature the enterprise data platform for adoption across additional product teams.
• Accelerate delivery of trusted analytics, reporting, and AI capabilities through reusable platform services.
• Improve platform scalability, operational efficiency, governance, and cost optimization.
• Reduce onboarding effort for new products and customer‑specific configurations.
• Advance the enterprise data architecture to support the next generation of Connected Risk Intelligence and AI capabilities.

Riskonnect is an equal‑opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

No Agencies Please.