Senior Data Architect

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead the discovery process and assessments of the current state of client data environments.

• Define target-state architectures and transition plans for analytics, data warehousing, Lakehouse, as well as real-time and operational data workloads.

• Create solution architecture documents, architecture diagrams, Architectural Decision Records (ADRs), non-functional requirements, and capacity plans.

• Assess platform options and evaluate build-versus-buy decisions across Fabric, Databricks, Azure Synapse Analytics, and Azure SQL.

• Implement guidance from the Azure Well-Architected Framework and Cloud Adoption Framework.

• Plan and oversee migrations to Fabric and Azure.

• Facilitate architecture and design reviews, maintain reference architectures and standards, manage exceptions, and monitor technical debt.

• Design end-to-end Microsoft Fabric solutions involving OneLake, Lakehouse, Warehouse, Data Factory, Dataflows Gen2, Spark notebooks, Real-Time Intelligence, and Power BI.

• Develop strategies for OneLake and manage Fabric capacities, consumption, budgets, and cloud/Fabric expenditures.

• Create Power BI semantic models and integrate Fabric with the broader Azure ecosystem.

• Establish network, identity, governance, and security controls.

• Manage conceptual, logical, and physical data models, and set standards for modeling, naming, keys, partitioning, and file layout.

• Implement practices for SDLC, DevOps, CI/CD, infrastructure-as-code, testing, and DataOps.

• Define support models, SLAs/SLOs, escalation procedures, training, documentation, and handoff criteria.

• Operate within Agile frameworks using Azure Boards or Jira.

• Design data foundations and architectures that support AI and machine learning, which include Azure Machine Learning, Fabric Data Science, Azure OpenAI, RAG, Fabric IQ, Foundry IQ, knowledge graphs, and agentic solutions.

• Outline GenAIOps practices and AI cost and capacity planning.

• Assist in pre-sales activities through technical discovery, solution strategies, estimates, proposals, and Statements of Work (SOWs).

• Act as the technical lead and primary technical contact during client engagements.

• Review implementations, conduct readiness assessments, and provide production approvals.

• Present architectural solutions and recommendations to both technical and executive audiences.

• Identify additional opportunities and contribute to account growth.

• Create reusable solution accelerators and intellectual property for Datavail.

• Assess new capabilities in Microsoft Fabric, Azure, data, and AI, translating successful experiments into practical guidance.

• Lead technical delivery teams and mentor team members.

• Participate in hiring, interviewing, and onboarding processes for the Data & Analytics division.

⛳️ Requirements

• Bachelor's degree in computer science, information systems, engineering, or a related field, or equivalent professional experience.

• Over 10 years of experience in data engineering, data warehousing, or analytics, including at least 5 years in a data or solution architect role.

• More than 3 years of experience in designing and delivering data solutions on Azure, with practical experience in implementing Microsoft Fabric in production environments.

• Proven end-to-end architecture ownership of at least two enterprise-scale data platform implementations.

• Expert-level skills in dimensional modeling and a working knowledge of Data Vault 2.0 and normalized modeling techniques.

• Advanced SQL skills (T-SQL and Spark SQL) and proficiency in Python/PySpark; familiarity with DAX and KQL is a plus.

• Practical experience in implementing CI/CD, Git-based workflows, and infrastructure as code for data platforms.

• Experience in professional services, consulting, or client-facing delivery roles, including pre-sales and estimation activities.

• Proven experience in leading and mentoring technical teams.

• Strong written and verbal communication skills, with the ability to create clear architecture documentation and facilitate client workshops.

• Willingness 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: Experience delivering AI or machine learning solutions in production, including RAG or generative AI workloads on Azure.

• Preferred: Background in designing ontologies or knowledge graphs, and hands-on experience with Fabric IQ or Foundry IQ.

• Preferred: Experience in implementing AI governance or responsible AI initiatives, as well as evaluating and monitoring GenAIOps for production AI solutions.

• Preferred: Background in Azure Government (GCC, GCC High) or other government cloud environments, including FedRAMP and associated compliance requirements.

• Preferred: Experience in architecting multi-tenant data platforms.

• Preferred: Familiarity with transformation and data quality frameworks.

• Preferred: Industry experience in healthcare, financial services, manufacturing, retail, or the public sector.

🏝️ Benefits

• Willingness to travel up to 25% to client sites.