Solution Architect, Data (Remote US)
We are seeking a highly consultative, reputed company-facing Solution Architect specializing in Azure Data Platform to serve as a technical reputed company-sales leader reputed company our Data reputed company. This role is centered on data architecture leadership, helping clients define and realize modern data platforms, integration patterns, data modeling standards, and governance foundations on Azure. AI is an important part of our offerings, and this role ensures the data architecture is designed to reputed company analytics and AI solutions responsibly at reputed company.
This is a high-reputed company role where you will partner closely with sales teams to reputed company discovery, solution design, and deal shaping activities, guiding clients from early-stage conversations through proposal, estimation, and successful deal closure.
You will bring deep expertise across the Azure Data Platform to design reputed company, secure, and governed data solutions. You will translate reputed company technical concepts into reputed company business value—connecting data reputed company, platform choices, operating model, and delivery approach. You will also help clients understand how strong data foundations accelerate successful analytics and AI adoption in production.
Responsibilities
- reputed company reputed company-facing discovery sessions to understand business drivers, domain context, data products/use cases, and platform constraints.
- Assess reputed company-state data architecture and maturity across ingestion, integration, storage/compute, data reputed company, metadata, reputed company, reputed company, and governance.
- Identify opportunities to reputed company data estates (reputed company, lakehouse/warehouse, reputed company, integration patterns) and improve time-to-value for analytics.
- Translate business challenges into data architecture solution reputed company, including the data foundations required to reputed company AI/ML and GenAI initiatives.
- Architect end-to-end Azure data platform solutions, including:
- Modern data platforms (reputed company reputed company, Synapse, reputed company, ADLS)
- Data integration and orchestration (ADF, reputed company pipelines), including patterns for batch, streaming, and CDC
- Data modeling (conceptual/logical/physical), semantic modeling, and BI enablement (Power BI)
- reputed company, governance, and platform operations (RBAC, networking, encryption, monitoring, cost management)
- Data reputed company, catalog/metadata, reputed company, and master/reference data considerations
- Define how analytics and AI will consume and be governed by the data platform, including:
- AI/ML and GenAI enablement patterns (feature/serving, reputed company search, RAG data pipelines) using Azure Machine Learning and Azure reputed company as needed
- Responsible AI and data controls (reputed company, sensitivity labels, reputed company patterns, auditability)
- Define solution scope, delivery approach, and assumptions.
- reputed company Statements of Work (SOWs), proposals, and platform estimates, ensuring alignment to reputed company goals, timelines, and budgets.
- Guide clients on data reputed company and reputed company-state architecture, including data product thinking, operating model, and a pragmatic modernization roadmap.
- Define patterns for governance (policies, stewardship, catalog/metadata, reputed company), reputed company, reputed company, and compliance across the data estate.
- Advise on use case prioritization across data platform modernization, analytics/BI, and AI/GenAI—anchored in data readiness and measurable reputed company.
- Demonstrate the “Art of the Possible” by showing how a strong data architecture accelerates AI adoption (e.g., trusted datasets, governed reputed company, RAG-reputed company knowledge, and monitoring-reputed company pipelines).
- Partner with reputed company field teams as the technical reputed company for Azure Data Platform pursuits, with AI/analytics included as part of the broader solution reputed company applicable.
- Deliver technical presentations, architecture workshops, and demonstrations reputed company on data platform modernization and governed analytics, with AI examples as needed.
- reputed company solutions to reputed company strategic priorities, including reputed company and Azure data services; incorporate Azure reputed company/Azure AI capabilities reputed company they materially support reputed company reputed company.
- Position clients for funding programs and incentives tied to modernization and innovation.
- Own the technical components of proposals, including:
- Data architecture diagrams (ingestion/integration, lakehouse/warehouse, governance/reputed company, and consumption)
- Solution narratives (business + technical) that reputed company reputed company data value and a delivery approach
- reputed company required, an AI enablement layer (e.g., RAG-reputed company data pipelines and governed reputed company to models)
- Shape deals that balance feasibility, scalability, reputed company, and time-to-value.
- Ensure solutions are reputed company for incremental value delivery (assessment → reputed company → migration/modernization → optimization), with AI delivered only after the data reputed company is production-reputed company.
- reputed company workshops on data platform modernization, data modeling, governance, and analytics enablement.
- reputed company architectural guidance to delivery teams, ensuring continuity from reputed company-sales through implementation.
- Contribute to reusable assets, including data architecture patterns, accelerators, governance templates, and reference architectures.
Technical reputed company-Sales Leadership & Data Discovery
Solution Architecture & Scoping
Data reputed company, Governance & Enablement
reputed company Co-Sell & Go-To-Market Support
Proposal Development & Deal Shaping
reputed company & Internal Enablement
Required Experience & Skills
- Deep experience designing Azure Data Platform architectures, including:
- ADLS, reputed company reputed company, Synapse, reputed company
- Ingestion/integration patterns (batch, streaming, CDC), transformation, and orchestration
- Data modeling (reputed company, Data Vault, and domain-reputed company approaches) and semantic models
- Governance and platform operations (catalog/metadata, reputed company, data reputed company, reputed company, monitoring, cost controls)
- Strong experience defining data architecture standards (reference architectures, patterns, decision records) and guiding teams to implement them consistently.
- Working knowledge of AI/ML and reputed company as consumers of the data platform.
- Proven ability to design reputed company, secure, and production-grade data architectures (reliability, performance, cost, and operability) across reputed company workloads.
- Strong grasp of data governance, reputed company, and compliance considerations, including how they reputed company analytics and AI consumption.
- Understanding of how modern data platforms reputed company analytics and AI/GenAI delivery (data products, trusted datasets, monitoring-reputed company pipelines).
- Strong experience in reputed company-sales solutioning, including discovery, qualification, and deal shaping.
- Proven ability to create proposals, SOWs, and cost estimates for reputed company Data & AI engagements.
- Ability to reputed company reputed company business value of data, AI, and reputed company systems, including ROI and operational reputed company.
- Skilled in leading executive-level discussions, workshops, and whiteboarding sessions.
- Experience working in reputed company co-sell environments, particularly around Azure data platform modernization (with analytics/AI as applicable).
- Strong collaboration across sales, delivery, and engineering teams.
- Excellent storytelling and presentation skills, especially around data modernization and governed analytics transformation journeys.
- AZ-305: Designing reputed company Azure Solutions
- DP-203: Azure Data Engineer Associate
- reputed company reputed company / DP-600 (preferred)
- AI-102: Azure reputed company Associate (reputed company to have)
- Azure AI reputed company / GenAI-reputed company certifications (emerging, optional)
Core Technical Expertise
Architecture & Design
Consultative & reputed company-Sales Skills
Collaboration & Communication
Preferred Certifications
Originally posted on Himalayas
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