Jobs and Careers

Solution Architect, Data (Remote US)

Remote - US, United StatesRemotefull_timeVerifiedPosted 8 Jul 2026

About the role

Atmosera empowers businesses to redefine what's possible with modern technology and human expertise. Our exceptional experience across Applications, Data & AI, DevOps, Security, and the Microsoft Azure platform enables organizations to accelerate innovation, enhance security, and optimize operational agility. As a Microsoft Partner with seven specializations, GitHub AI Partner of the Year, a member of the GitHub Advisory Board, and a member of the prestigious Microsoft Intelligent Security Association (MISA), Atmosera expertly delivers cutting-edge, integrated solutions that deliver business value.

We are seeking a highly consultative, client-facing Solution Architect specializing in Azure Data Platform to serve as a technical pre-sales leader within our Data practice. 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 enable analytics and AI solutions responsibly at scale.

This is a high-impact role where you will partner closely with sales teams to lead 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 scalable, secure, and governed data solutions. You will translate complex technical concepts into clear business value—connecting data strategy, 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

Technical Pre-Sales Leadership & Data Discovery

Lead client-facing discovery sessions to understand business drivers, domain context, data products/use cases, and platform constraints.

Assess current-state data architecture and maturity across ingestion, integration, storage/compute, data quality, metadata, lineage, security, and governance.

Identify opportunities to modernize data estates (cloud, lakehouse/warehouse, medallion, integration patterns) and improve time-to-value for analytics.

Translate business challenges into data architecture solution options, including the data foundations required to enable AI/ML and GenAI initiatives.

Solution Architecture & Scoping

Architect end-to-end Azure data platform solutions, including:

Modern data platforms (Microsoft Fabric, Synapse, Databricks, ADLS)

Data integration and orchestration (ADF, Fabric pipelines), including patterns for batch, streaming, and CDC

Data modeling (conceptual/logical/physical), semantic modeling, and BI enablement (Power BI)

Security, governance, and platform operations (RBAC, networking, encryption, monitoring, cost management)

Data quality, catalog/metadata, lineage, 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, vector search, RAG data pipelines) using Azure Machine Learning and Azure OpenAI as needed

Responsible AI and data controls (privacy, sensitivity labels, access patterns, auditability)

Define solution scope, delivery approach, and assumptions.

Develop Statements of Work (SOWs), proposals, and platform estimates, ensuring alignment to client goals, timelines, and budgets.

Data Strategy, Governance & Enablement

Guide clients on data strategy and target-state architecture, including data product thinking, operating model, and a pragmatic modernization roadmap.

Define patterns for governance (policies, stewardship, catalog/metadata, lineage), security, privacy, 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 outcomes.

Demonstrate the “Art of the Possible” by showing how a strong data architecture accelerates AI adoption (e.g., trusted datasets, governed access, RAG-ready knowledge, and monitoring-ready pipelines).

Microsoft Co-Sell & Go-To-Market Support

Partner with Microsoft field teams as the technical lead for Azure Data Platform pursuits, with AI/analytics included as part of the broader solution when applicable.

Deliver technical presentations, architecture workshops, and demonstrations focused on