Microsoft Data Architect and Client Solutions Lead

Microsoft Data Architect and Client Solutions Lead

Location: Dallas, TX; Philadelphia, PA; or Boston, MA
Work Model: Customer-facing hybrid/onsite role
Employment Type: Full-time
Travel: Up to 25%, depending on customer and presales requirements

Key Responsibilities

Data Strategy and Architecture

• Assess customers’ current data platforms, integration patterns, reporting environments, governance maturity, and analytics capabilities.
• Define current-state and target-state data architectures aligned with customer business and technology strategies.
• Design scalable data platforms using technologies such as:
• Microsoft Fabric
• Azure Data Factory
• Azure Synapse Analytics
• Azure Databricks
• Azure Data Lake Storage
• Microsoft Purview
• Power BI
• SQL Server and Azure SQL
• OneLake, Lakehouse, and Warehouse architectures
• Azure Event Hubs and streaming technologies
• Design batch, near-real-time, and streaming data pipelines.
• Define data models, semantic layers, master-data approaches, metadata standards, and data-quality frameworks.
• Establish architecture principles for security, scalability, availability, performance, lineage, observability, and cost optimization.
• Recommend appropriate approaches for data migration, cloud modernization, lakehouse adoption, analytics, and AI readiness.
• Ensure data solutions align with enterprise architecture, security, privacy, compliance, and governance requirements.

Technical and Delivery Leadership

• Lead architecture and solution-design workshops with customer stakeholders.
• Create architecture diagrams, solution blueprints, data-flow diagrams, technology-selection recommendations, and implementation roadmaps.
• Guide data engineers, BI developers, cloud engineers, administrators, and offshore delivery teams.
• Review technical designs, data models, pipeline implementations, and platform configurations.
• Establish development, testing, deployment, monitoring, and support standards for data platforms.
• Support project planning, estimation, staffing, sequencing, dependency management, and technical risk mitigation.
• Identify architecture and delivery risks early and recommend practical resolution strategies.
• Support production-readiness assessments, performance tuning, and platform optimization.

Customer Stakeholder Management

• Serve as a trusted advisor to customer CIOs, CDOs, enterprise architects, data leaders, engineering managers, and business stakeholders.
• Translate business goals into actionable data-platform capabilities and architecture roadmaps.
• Communicate technical tradeoffs, recommendations, risks, costs, and expected business outcomes.
• Facilitate decisions across business, architecture, security, infrastructure, analytics, and application teams.
• Manage stakeholder expectations and build alignment across competing priorities.
• Present architecture recommendations and delivery progress to executive and steering-committee audiences.
• Identify opportunities to expand Evoke’s relationship through additional data, analytics, AI, cloud, and application-modernization services.

Presales and Solution Development

• Partner with sales executives and practice leaders to qualify and shape data and analytics opportunities.
• Conduct customer discovery sessions and assess business needs, technical environments, constraints, and desired outcomes.
• Develop solution approaches, architecture concepts, implementation roadmaps, staffing models, assumptions, and effort estimates.
• Contribute to proposals, statements of work, RFP responses, presentations, and solution demonstrations.
• Present proposed solutions to technical and executive stakeholders.
• Support proof-of-concept and discovery engagements.
• Help develop reusable offerings, accelerators, reference architectures, case studies, and estimation models.
• Stay current with Microsoft’s data, analytics, AI, and cloud platform roadmap.

Required Qualifications

• Bachelor’s or master’s degree in computer science, data engineering, information systems, engineering, or a related discipline.
• 10 or more years of experience in data engineering, data architecture, analytics, business intelligence, or cloud data platforms.
• At least 5 years of experience designing solutions using the Microsoft data and Azure ecosystem.
• Strong architecture experience with Microsoft Fabric, Azure data services, SQL Server, and Power BI.
• Experience with lakehouse, data warehouse, data lake, ETL/ELT, semantic modeling, and data integration patterns.
• Strong understanding of data governance, metadata, lineage, security, privacy, and data-quality principles.
• Experience leading distributed or onsite/offshore delivery teams.
• Demonstrated ability to manage senior customer stakeholders.
• Experience estimating and shaping data-platform implementation programs.
• Excellent presentation, facilitation, documentation, and communication skills.
• Ability to explain technical concepts and tradeoffs to executive and business audiences.

Preferred Qualifications

• Experience with Azure Databricks, Delta Lake, Spark, Python, and modern data-engineering frameworks.
• Experience integrating enterprise platforms such as Dynamics 365, Salesforce, SAP, Oracle, or ServiceNow.
• Knowledge of generative AI, RAG, machine learning, vector databases, and AI-ready data architectures.
• Experience with Microsoft Purview and enterprise data-governance implementations.
• Familiarity with DevOps, DataOps, MLOps, infrastructure as code, and automated deployment pipelines.
• Microsoft certifications related to Azure, Fabric, data engineering, data architecture, or Power BI.
• Previous consulting or professional-services experience.
• Experience responding to enterprise RFPs and participating in complex solution presentations.