Data Solution Architect
Job in
Washington, District of Columbia, 20022, USA
Listed on 2026-10-02
Listing for:
HSO
Full Time
position Listed on 2026-10-02
Job specializations:
-
IT/Tech
Data Engineering, Azure, Cloud Computing: Infrastructure & Operations
Job Description & How to Apply Below
- Architect, lead, and deliver complex data modernization initiatives leveraging Azure Synapse, Microsoft Fabric, Azure Data Lake, Databricks, and related Azure services.
- Drive on-premises to Azure migration strategies, modernizing legacy data warehouses into scalable lakehouse and Delta Lake architectures.
- Design and implement enterprise data integration frameworks across Dynamics 365 F&O, Dynamics 365 CE, Salesforce, SAP, Workday, and third-party platforms using Azure-native services and Data API Gateways.
- Build, optimize, and maintain advanced data pipelines in Azure Synapse and Azure Data Factory (ADF), supporting both full and incremental data loads from cloud and on-premises environments.
- Establish scalable, cost-efficient, and high-performing data architectures by driving performance optimization and platform best practices across Databricks and Synapse environments.
- Implement enterprise-grade data platform capabilities including Delta Lake features such as CDC, schema evolution, and slowly changing dimensions (SCDs).
- Apply modern governance, security, and observability frameworks using Azure Purview, Key Vault, and Data Mesh principles to ensure trusted and compliant data solutions.
- Lead the design and implementation of reusable CI/CD frameworks using Azure Dev Ops, Git Hub, ARM templates, and Power Shell automation.
- Partner with cross-functional Microsoft service line teams, including Power Platform, Dynamics 365, Azure Infrastructure, and Modern Work, to deliver integrated client solutions.
- Serve as a trusted advisor by contributing to client roadmaps, strategy discussions, proposals, steering committee meetings, and executive communications while ensuring customer satisfaction and delivery excellence.
- Leading complex on-premises to Azure data transformation journeys across large enterprise environments.
- Designing modern data platforms using lakehouse, Data Mesh, microservices, and cloud-native architectural patterns.
- Building near real-time ingestion and processing solutions using technologies such as Kafka, Event Hubs, or similar platforms.
- Integrating Azure AI and machine learning services to enhance analytics and intelligent decision-making capabilities.
- Developing and managing automated deployment and CI/CD pipelines using Azure Dev Ops, Git Hub Actions, ARM/Bicep, and Power Shell.
- Communicating complex technical concepts effectively to executives, business stakeholders, and technical teams.
- Mentoring data engineers, guiding solution architecture decisions, and ensuring delivery quality across multi-team engagements.
- Ensuring data quality, integrity, governance, and security throughout the data lifecycle.
- Thriving in a collaborative environment while solving complex challenges with creativity, adaptability, and a commitment to continuous learning.
- A bachelor’s degree in Computer Science, Information Technology, or a related field.
- 10+ years of experience in data architecture, ETL, data warehousing, and cloud transformation initiatives.
- Deep expertise with Azure Synapse, Databricks, Spark, Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), Azure Functions, Python, and SQL/T-SQL.
- Proven experience optimizing cloud platform cost, performance, scalability, and operational efficiency.
- Strong knowledge of Data Mesh, Delta Lake, Azure Purview, and modern data governance and observability frameworks.
- Hands-on experience building scalable real-time ingestion, data processing frameworks, and enterprise data platforms.
- Strong understanding of Common Data Model (CDM), Dataverse, Power BI Dataflows, and integrations with Dynamics 365 and other enterprise applications.
- Experience with Azure Key…
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