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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Cloud Data Architect (Snowflake), SME - **Company:** Koniag Services, Inc. - **Location:** Washington, DC, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Query Performance, Application Programming Interfaces (APIs), Airflow, Amazon Web Services, Data Analysis, Microsoft Azure, Business Systems, Cloud Database, Cyber Security, Information Systems, Data as a Services, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Security, Data Sharing, Data Systems, Decision Support Systems, Identity and Access Management, Metadata, Meta-Data Management, Operational Data Store, Performance Tuning, Query Optimization, Role-Based Access Control, Reference Data, Cloud Services, Data Streaming, Systems Integration, Technical Data Management Systems, Data Logging, Google Cloud, Cloud Platform System, Informatica Powercenter, Snowflake, Semi-structured Data, Infrastructure Automation Frameworks, Information Technology, Data Lineage, Deployment Automation, Data Analytics, Data Management, Data Pipelines, Devsecops - **Published:** August 29, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9128214/cloud-data-architect-snowflake-sme ## About the Role * Bachelor's degree in Computer Science, Information Systems, Data Engineering, Data Analytics, or a related discipline, or equivalent work experience. * 8+ years of experience in data architecture, cloud data engineering, enterprise analytics, or data platform implementation. * 4+ years of hands-on experience designing or implementing Snowflake or comparable cloud data platform solutions. * Experience supporting enterprise data integration, governance, and analytics environments in complex stakeholder settings. Desired: * SnowPro Advanced Architect, SnowPro Core, or comparable cloud data certification. * Experience supporting federal government data environments, including security, privacy, and compliance controls. * Experience integrating Snowflake with data catalog, BI, workflow, and enterprise identity platforms., * Expert knowledge of Snowflake architecture, data modeling, warehouse design, security controls, query performance, and cost optimization. * Strong understanding of ELT/ETL patterns, data pipelines, APIs, structured and semi-structured data, and data quality controls. * Ability to define practical architecture standards that engineering teams can implement and operations teams can sustain. * Experience with cloud services, identity integration, role-based access control, logging, monitoring, and secure data sharing. * Strong written and verbal communication skills with the ability to explain technical data architecture decisions to technical and non-technical stakeholders. * Ability to obtain a Public Trust clearance. Desired Skills and Competencies: * Experience with Azure, AWS, or Google Cloud data services used with Snowflake. * Experience with dbt, Fivetran, Matillion, Informatica, Airflow, or comparable data integration tools. * Knowledge of data governance, data lineage, metadata management, and master/reference data practices. * Familiarity with Agile delivery, DevSecOps, infrastructure as code, and automated deployment patterns for data platforms.4 ## Description Koniag Advisory and Business Solutions, LLC, a Koniag Government Services company, is seeking a Cloud Data Architect (Snowflake), SME to support the Digital Workplace workforce by designing, integrating, and optimizing enterprise cloud data capabilities. The successful candidate will provide senior technical leadership for Snowflake architecture, data modeling, data pipeline integration, performance optimization, and secure data sharing across mission and business systems. This role requires the ability to translate operational data needs into scalable, governed, and supportable cloud data solutions that improve analytics, reporting, and decision support. Work will be performed at the client's facility or customer approved remote locations during Eastern Time core business hours. The Cloud Data Architect (Snowflake), SME will serve as the senior technical authority for Snowflake-based data architecture and integration within the Digital Workplace environment. Principal responsibilities will include but are not limited to: * Design and implement Snowflake architecture patterns that support data integration, analytics, governance, performance, security, and operational sustainment. * Develop target-state data models, data flows, schemas, warehouse structures, and integration patterns for enterprise and program data sources. * Guide the integration of Snowflake with data catalog, visualization, identity, security, and workflow platforms used across the Digital Workplace ecosystem. * Establish technical standards for ingestion, transformation, storage, access control, data sharing, metadata capture, and lifecycle management. * Support performance tuning, cost optimization, workload isolation, warehouse sizing, query optimization, and platform monitoring. * Collaborate with governance, cybersecurity, infrastructure, and application teams to ensure data solutions align with federal security and compliance expectations. * Produce architecture diagrams, implementation guidance, data interface specifications, design decisions, and operational runbooks. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again)