Cloud Data Architect

Founded in 2007, Initiate Government Solutions (IGS) is a Woman-Owned Small Business and a fully remote IT services provider supporting federal partners nationwide. We deliver innovative Enterprise IT and Health Services solutions with a strong focus on data analytics, health informatics, cloud migration, AI, and the modernization of federal information systems.

Our vision

is to be a health IT trendsetter, continuing to solve the nation’s most challenging healthcare IT issues by conceiving, designing, and building solid, creative, and innovative open-source solutions. 

Our mission

is to innovate, design, and deliver tailored solutions that balance technical advancement with cost-awareness while providing exceptional service.

IGS is currently recruiting a remote

Cloud Data Architect

to support our work with a federal customer.

• Assignment of Work and Travel:

This is a remote access assignment. The Candidate will work remotely daily and will remotely access customer systems and therein use approved customer provided communications systems. Travel is not required; however, the candidate may be required to attend client meetings as requested.

The Cloud Data Architect will serve as a technical leader responsible for designing, governing, and evolving enterprise-scale cloud data architectures while ensuring security, compliance, interoperability, and operational excellence. The ideal candidate will have extensive experience designing and implementing Azure-based data platforms, developing enterprise architecture artifacts, defining security and compliance frameworks, supporting DevSecOps initiatives, and guiding the migration of complex data ecosystems into modern cloud environments.

• Responsibilities and Duties (Included but not limited to):

• Lead the design, development, and maintenance of enterprise cloud data architectures supporting customer initiatives.
• Develop and maintain Enterprise Reference Architectures, technology roadmaps, standards, and architectural governance processes.
• Establish architecture patterns and guardrails for cloud-native data platforms, analytics, AI/ML, and Lakehouse environments.
• Evaluate emerging technologies and recommend enhancements to improve scalability, interoperability, security, and operational efficiency.
• Design and implement Azure-based data solutions utilizing services such as Azure Data Lake, Azure Synapse Analytics, Azure Databricks, Azure Machine Learning, Azure SQL, Azure Data Factory, Azure Event Hubs, and Azure AI Services.
• Architect secure and scalable Lakehouse, Data Warehouse, and Data Mesh solutions.
• Design high-performance data ingestion, transformation, and integration frameworks supporting operational, analytical, and AI workloads.
• Support Authority to Operate (ATO) activities, Security Impact Assessments (SIA), and compliance and security documentation.
• Guide engineering teams in implementing scalable data ingestion, transformation, and analytics pipelines.
• Support modernization and migration of legacy data platforms, including Corporate Data Warehouse (CDW) workloads, into Azure cloud environments.
• Develop migration strategies and interoperability frameworks supporting hybrid and cloud-native architectures.
• Define and implement cloud infrastructure automation using Infrastructure as Code (IaC) tools.
• Design and govern secure CI/CD and DevSecOps pipelines. 
• Establish reusable patterns for AI/ML development, deployment, monitoring, and governance.
• Ensure AI/ML architectures align with security, compliance, and trustworthy AI principles.
• Other duties as assigned