Senior Data & AI Solution Architect

Company Description

ERP Logic is a globally recognized SAP Cloud Solutions company, specializing in SAP implementation and application services. Since its inception in 2009, the company has grown significantly to over 1,000 employees and expanded its presence across the United States, Europe, the Middle East, India, and Israel. As one of the top three SAP reseller partners globally for SAP S/4HANA Grow and SAP S/4HANA Rise, ERP Logic serves over 500 customers, including both large enterprises and mid-sized companies. With deep expertise in SAP S/4HANA and SAP ECC, ERP Logic supports businesses in transitioning to advanced ERP systems with a customer-centric approach and sustainable solutions.

Role Description

We are seeking a highly hands-on senior architect to lead solution design across enterprise data, analytics, and AI initiatives in a Microsoft-first environment. This role is responsible for translating business requirements into secure, scalable, supportable architectures and guiding delivery teams through design, prototyping, implementation, reviews, and production readiness. The ideal candidate combines strong architecture leadership with proven hands-on depth in Power BI, Azure data platforms, and enterprise AI enablement.

Key Responsibilities

• Own end-to-end solution architecture for data, analytics, and AI use cases, with accountability for design quality, security, scalability, supportability, and cost.
• Translate business needs into practical technical designs, target architectures, integration patterns, and delivery-ready implementation guidance.
• Lead by example through hands-on prototyping, architecture reviews, troubleshooting, code/design reviews, and technical support for delivery teams.
• Ensure security, governance, compliance, and operational readiness are built into solutions from design through production deployment.

Education, Experience and Skill-set Required

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.
• 10+ years of IT experience, including 5+ years in senior solution architecture roles for enterprise data, analytics, and AI platforms.
• 5+ years strong hands-on experience with Azure-based data platforms, including Azure Data Factory, Databricks, data lake architectures, SQL, and dimensional data modeling, with the ability to build practical end-to-end solution designs.
• Strong experience with enterprise security, governance, and compliance, and the ability to work effectively with enterprise architects and guiding or regulatory functions to ensure solutions meet organizational standards and control requirements.

Good to have

• Deep hands-on expertise in Power BI architecture or similar BI technology, including semantic models, DAX, Power Query, workspace strategy, governance, performance optimization, and enterprise reporting patterns
• Experience with Microsoft-first AI platforms and services such as Azure OpenAI, Azure AI Foundry, Copilot Studio, Azure AI Search, Semantic Kernel, Prompt Flow, and enterprise AI governance patterns.
• Experience with Microsoft Fabric, Azure DevOps, GitHub Enterprise, and CI/CD for Data or AI solutions.
• Experience with Microsoft security and governance services such as Microsoft Entra, Purview, and Key Vault
• Experience in life sciences, pharmaceuticals, or other regulated industries
• Relevant Microsoft certifications in Azure, Power BI, data, or AI architecture. Excellent communication skills in English, with the ability to drive alignment across architects, delivery teams, business stakeholders, and enterprise control functions

Key skills

• Hands-on technical leadership with a clear lead-by-example mindset

• Strong architecture judgment across data, analytics, AI, integration, security, and non-functional requirements

• Proven ability to own solution architecture end to end: shape target designs, validate them through prototyping or proof of concept where needed, guide delivery teams through implementation, and provide technical oversight through design reviews and production readiness checks

• Ability to translate business problems into practical, delivery-ready technical solutions

• Strong troubleshooting, decision-making, estimation, and risk management capability

• Comfort working across distributed teams and external suppliers in enterprise delivery environments

Core technology stack

• Analytics: Power BI, semantic models, DAX, Power Query, Databricks, enterprise reporting and governance
• Data platform: Azure Data Factory, Databricks, Azure data lake, SQL, dimensional modeling, ETL/ELT, orchestration
• AI platform: Azure OpenAI, Azure AI Foundry, Azure AI Search, Copilot Studio, Semantic Kernel, Prompt Flow
• Engineering and governance: Azure DevOps, GitHub Enterprise, CI/CD, Microsoft Entra, Purview, Key Vault
• Optional / advantageous: Microsoft Fabric, Python, data observability and monitoring patterns