Solution Architect – Data & AI

Role Overview

Solution Architecture and Design

• Design end-to-end enterprise Data and AI architectures covering data ingestion, transformation, storage, analytics, AI, and machine learning.
• Architect cloud-native data platforms on Microsoft Azure using Microsoft Fabric, Azure Databricks, Azure Data Factory, ADLS, and Microsoft Purview.
• Build scalable ecosystems using Azure, Snowflake, Spark, Airflow, Kafka, and other open-source frameworks.
• Develop AI and machine learning platforms incorporating MLOps, monitoring, and responsible AI principles.
• Define architecture blueprints, data models, integration patterns, and governance frameworks.
• Design and provision enterprise Azure Data Platforms for scalability, performance, and resilience.
• Establish data security, privacy, governance, and compliance frameworks.
• Design logging, monitoring, observability, and alerting solutions for platform reliability.

Technical Leadership

• Lead architecture reviews, technical workshops, and design governance.
• Provide technical leadership and mentorship to Data Engineering, Analytics, and AI teams.
• Establish architecture principles, engineering standards, and reusable solution patterns.
• Drive CI/CD, infrastructure-as-code, and DevOps practices.
• Evaluate and recommend emerging technologies for enterprise solutions.

Client Consulting and Delivery

• Translate business requirements into scalable data-driven solutions.
• Advise on data strategy, architecture roadmaps, and AI adoption frameworks.
• Support pre-sales activities, solution demonstrations, RFP responses, and executive-level presentations.
• Ensure architecture integrity throughout the lifecycle from design through production deployment.
• Collaborate with cross-functional teams to deliver secure, scalable, business-aligned data platform solutions.

Qualifications and Experience

• Bachelor’s or Master’s degree in a relevant technical discipline.
• At least 8 years of total experience, including at least 2 years in Data or AI Solution Architecture roles.
• Proven enterprise-scale Azure Data Platform delivery using ADLS, Azure Data Factory, Azure Databricks, and Microsoft Fabric.
• Experience with data lakehouse architectures, large-scale analytics, Snowpark, dbt, Airflow, and Terraform.
• Expertise in CI/CD with Azure DevOps, GitHub Actions, Terraform, Docker, and Kubernetes.
• Strong understanding of Python, SQL, Scala, and API or microservice-based data integration.
• Experience designing AI/ML solutions across preparation, deployment, monitoring, governance, and MLOps.
• Experience with Generative AI architectures, LLMs, Azure OpenAI, AI agents, RAG, vector databases, and AI governance.

Preferred Certifications

• Preferred certifications include Azure Solutions Architect Expert, Azure Data Engineer Associate, SnowPro Core, or Snowflake Advanced Architect.