DescriptionJob Type: Direct hire
Company: The name of our partner organization will be disclosed during the interview process. This is not a direct role with LaunchCode; it is a position through LaunchCode, working with one of our partner companies.
Disclaimer: We are unable to provide work sponsorship for this role. We are unable to consider candidates for this role who have a current or future work sponsorship need (this includes those holding extended OPT Visas).
Our company partner is seeking an accomplished Principal Solution Architect specializing in Data & AI to help enterprise clients transform their businesses through Microsoft Azure, advanced analytics, machine learning, and artificial intelligence. This is a highly visible, client-facing pre-sales leadership position combining deep technical expertise with business strategy, solution architecture, and consultative selling. The ideal candidate is a trusted technical advisor who can engage with C-level executives, understand complex business challenges, and translate those needs into innovative, scalable Data & AI solutions. This individual will partner closely with sales, engineering, and delivery teams to shape opportunities, develop compelling technical solutions, and help win large-scale enterprise engagements.
Key ResponsibilitiesPre-Sales & Solution Architecture- 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.
Data, Analytics & AI Architecture- 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.
Technical Leadership & Business Development- 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.
Required Qualifications- 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.
Preferred Technical ExpertiseMicrosoft Azure & Data Platforms- Azure Databricks
- Microsoft Fabric
- Azure Synapse Analytics
- Azure Data Factory
- Azure Data Lake Storage
- Azure SQL
- Microsoft Purview
Artificial Intelligence & Machine Learning- 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
Data Engineering & Analytics- 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
Ideal Candidate ProfileThe strongest candidates will combine three critical strengths:
- Deep technical expertise: A proven background designing enterprise-scale Azure Data & AI solutions, including modern data platforms, machine learning, and generative AI.
- Pre-sales experience: The ability to lead technical discovery, influence executive stakeholders, develop solutions, and help close complex consulting engagements.
- Business acumen: A consultative mindset with the ability to connect technology investments to measurable business outcomes.
Ideal backgrounds include Principal Solution Architect, Data & AI Solutions Architect, Azure AI Architect, Cloud Solution Architect, or Data & AI Consulting Architect.
Experience with Microsoft, Azure-focused consulting firms, or major technology consulting organizations would be especially relevant.
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