Senior Data Architect

🔥 15 hours ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Datavail

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2007

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Datavail is a comprehensive IT solutions provider specializing in analytics, application development, database administration, and cloud services. Their offerings span advanced analytics consulting, cloud migration and management, and application modernization, ensuring clients can leverage their data for competitive advantage. Datavail focuses on delivering tailored solutions to enhance data management and operational efficiency across various sectors.

📋 Description

• Lead discovery and current-state assessments of client data estates • Define target-state and transition architectures for analytics, data warehousing, Lakehouse, real-time and operational data workloads • Produce solution architecture documents, architecture diagrams, ADRs, non-functional requirements and capacity plans • Evaluate platform and build-versus-buy trade-offs across Fabric, Databricks, Azure Synapse Analytics and Azure SQL • Apply Azure Well-Architected Framework and Cloud Adoption Framework guidance • Plan and lead migrations to Fabric and Azure • Lead architecture and design reviews, maintain reference architectures and standards, manage exceptions and track technical debt • Architect end-to-end Microsoft Fabric solutions across OneLake, Lakehouse, Warehouse, Data Factory, Dataflows Gen2, Spark notebooks, Real-Time Intelligence and Power BI • Design OneLake strategies and govern Fabric capacities, consumption, budgets and cloud/Fabric spend • Design Power BI semantic models and integrate Fabric with the wider Azure estate • Design network, identity, governance and security controls • Own conceptual, logical and physical data models and define modeling, naming, key, partitioning and file-layout standards • Establish SDLC, DevOps, CI/CD, infrastructure-as-code, testing and DataOps practices • Define support models, SLAs/SLOs, escalation paths, training, documentation and handoff criteria • Work within Agile delivery using Azure Boards or Jira • Design data foundations and architectures supporting AI and machine learning, including Azure Machine Learning, Fabric Data Science, Azure OpenAI, RAG, Fabric IQ, Foundry IQ, knowledge graphs and agentic solutions • Define GenAIOps practices and AI cost and capacity planning • Support pre-sales through technical discovery, solution approaches, estimates, proposals and SOWs • Serve as technical lead and primary technical contact on client engagements • Review implementation, conduct readiness reviews and provide production sign-off • Present architecture and recommendations to technical and executive audiences • Identify follow-on opportunities and contribute to account growth • Develop reusable Datavail solution accelerators and intellectual property • Evaluate new Microsoft Fabric, Azure, data and AI capabilities and turn successful experiments into practice guidance • Lead technical delivery teams and mentor team members • Contribute to hiring, interviewing and onboarding for the Data & Analytics practice

🎯 Requirements

• Bachelor's degree in computer science, information systems, engineering or a related field, or equivalent professional experience • 10+ years of experience in data engineering, data warehousing or analytics, including 5+ years in a data or solution architect role • 3+ years designing and delivering data solutions on Azure, and hands-on delivery experience with Microsoft Fabric in production • End-to-end architecture ownership of at least two enterprise-scale data platform implementations • Expert-level dimensional modeling skills and working knowledge of Data Vault 2.0 and normalized modeling • Advanced SQL (T-SQL and Spark SQL) and working proficiency in Python/PySpark; working knowledge of DAX and KQL • Practical experience implementing CI/CD, Git-based workflows and infrastructure as code for data platforms • Experience in a professional services, consulting or client-facing delivery environment, including pre-sales and estimation • Experience leading and mentoring technical teams • Strong written and verbal communication, with the ability to produce clear architecture documentation and lead client workshops • Ability to travel up to 25% to client sites • Authorization to work in the United States • Preferred: Microsoft Certified: Fabric Data Engineer Associate (DP-700) • Preferred: Microsoft Certified: Azure Solutions Architect Expert (AZ-305) • Preferred: Microsoft Certified: DevOps Engineer Expert (AZ-400) • Preferred: Databricks Certified Data Engineer Professional • Preferred: Delivered AI or machine learning solutions in production, including RAG or generative AI workloads on Azure • Preferred: Experience designing ontologies or knowledge graphs, and hands-on work with Fabric IQ or Foundry IQ • Preferred: Experience implementing AI governance or responsible AI programs, and GenAIOps evaluation and monitoring for production AI solutions • Preferred: Experience with Azure Government (GCC, GCC High) or other government cloud environments, including FedRAMP and related compliance requirements • Preferred: Experience architecting multi-tenant data platforms • Preferred: Experience with transformation and data quality frameworks • Preferred: Industry experience in healthcare, financial services, manufacturing, retail or the public sector

🏖️ Benefits

• Ability to travel up to 25% to client sites

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