Solutions Architect Data/AI (Pre-Sales)

Lead technical discovery sessions with enterprise clients to understand business objectives, data challenges, and AI opportunities.

Design and present enterprise-scale Data & AI solutions leveraging Microsoft Azure technologies.

Partner with sales executives to develop technical strategies, proposals, statements of work, and solution presentations.

Serve as a trusted advisor to CIOs, CTOs, CDOs, and other senior business and technology leaders.

Translate complex technical concepts into clear business value, measurable outcomes, and return on investment.

Lead technical workshops, architecture discussions, demonstrations, and proof-of-concept engagements.

Support opportunity qualification, solution scoping, effort estimation, and technical deal strategy.

Architect modern cloud-based data platforms, analytics ecosystems, and AI/ML solutions.

Design solutions involving enterprise data integration, data engineering, data warehousing, and advanced analytics.

Develop AI strategies incorporating machine learning, generative AI, and intelligent automation.

Recommend scalable, secure, and cost-effective Azure architectures.

Provide architectural guidance on data governance, security, performance, and operational excellence.

Collaborate with delivery teams to ensure proposed solutions are technically feasible and aligned with client requirements.

Serve as a senior technical leader throughout the sales lifecycle.

Build strong relationships with Microsoft, enterprise customers, and internal stakeholders.

Help identify new Data & AI consulting opportunities within existing and prospective accounts.

Stay current with emerging Microsoft Azure technologies, AI capabilities, and industry trends.

Mentor solution architects and contribute to the development of reusable architectures, technical assets, and sales accelerators.

Extensive experience in enterprise solution architecture, cloud consulting, data engineering, analytics, or AI/ML.

Strong hands-on technical background in Microsoft Azure Data & AI technologies.

Demonstrated experience designing complex enterprise data platforms and AI solutions.

Deep understanding of machine learning, data science, modern data architectures, and cloud-based analytics.

Experience supporting pre-sales engagements, technical discovery, solution demonstrations, and enterprise proposals.

Ability to communicate effectively with both senior technical stakeholders and executive business leaders.

Strong consultative selling, presentation, and relationship-building skills.

Experience collaborating with sales teams to develop solutions and win enterprise business.

Ability to balance technical depth with commercial considerations, delivery feasibility, and business value.

Azure Databricks

Microsoft Fabric

Azure Synapse Analytics

Azure Data Factory

Azure Data Lake Storage

Azure SQL

Microsoft Purview

Azure AI Foundry

Azure Machine Learning

Azure OpenAI

Generative AI and Large Language Models (LLMs)

Retrieval-Augmented Generation (RAG)

AI agents and agentic workflows

MLOps and responsible AI practices

Python and SQL

Apache Spark / PySpark

Data pipelines and ETL/ELT

Data modeling and lakehouse architectures

Enterprise data governance and security

Power BI and business intelligence