Pay
$154K–$225K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
Washington, DC, USA
Live, first seen by us 35 days agoThis position may be filled prior to the posted deadline. Interested candidates are encouraged to apply as soon as possible. Koniag Advisory and Business Solutions, LLC a Koniag Government Services company, is seeking a Cloud Data Architect (Snowflake), SME to support KABS and our government customer in Washington, DC. The position is hybrid, requires 1 day onsite. This position requires the candidate to be able to obtain a Public Trust. Benefits include medical, dental, and vision insurance, 401(k) retirement plan, paid time off, paid parental leave, life and disability insurance, flexible spending accounts, commuter benefits and tuition reimbursement. 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.Read the full posting
Design Snowflake architecture patterns for integration, analytics, security and operations
Develop target-state data models, data flows, schemas and warehouse structures
Guide Snowflake integration with catalog, BI, identity and workflow platforms
Set technical standards for ingestion, storage, access control and data sharing
Tune performance, cost and warehouse sizing; monitor the platform
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.
Education and Experience: Required: 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:
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$154K–$225K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
Day 35
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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 Our Equal Employment Opportunity Policy The company is an equal opportunity employer. The company shall not discriminate against any employee or applicant because of race, color, religion, creed, ethnicity, sex, sexual orientation, gender or gender identity (except where gender is a bona fide occupational qualification), national origin or ancestry, age, disability, citizenship, military/veteran status, marital status, genetic information or any other characteristic protected by applicable federal, state, or local law. We are committed to equal employment opportunity in all decisions related to employment, promotion, wages, benefits, and all other privileges, terms, and conditions of employment. The company is dedicated to seeking all qualified applicants. If you require an accommodation to navigate or apply for a position on our website, please get in touch with Heaven Wood via e-mail at accommodations@koniag-gs.com or by calling 703-488-9377 to request accommodations. Koniag Government Services (KGS) is an Alaska Native Owned corporation supporting the values and traditions of our native communities through an agile employee and corporate culture that delivers Enterprise Solutions, Professional Services and Operational Management to Federal Government Agencies. As a wholly owned subsidiary of Koniag, we apply our proven commercial solutions to a deep knowledge of Defense and Civilian missions to provide forward leaning technical, professional, and operational solutions. KGS enables successful mission outcomes for our customers through solution-oriented business partnerships and a commitment to exceptional service delivery. We ensure long-term success with a continuous improvement approach while balancing the collective interests of our customers, employees, and native communities. For more information, please visit www.koniag-gs.com. Equal Opportunity Employer/Veterans/Disabled. Shareholder Preference in accordance with Public Law 88-352
This position may be filled prior to the posted deadline. Interested candidates are encouraged to apply as soon as possible. Koniag Advisory and Business Solutions, LLC a Koniag Government Services company, is seeking a Cloud Data Architect (Snowflake), SME to support KABS and our government customer in Washington, DC. The position is hybrid, requires 1 day onsite. This position requires the candidate to be able to obtain a Public Trust. Benefits include medical, dental, and vision insurance, 401(k) retirement plan, paid time off, paid parental leave, life and disability insurance, flexible spending accounts, commuter benefits and tuition reimbursement. 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.
This position may be filled prior to the posted deadline. Interested candidates are encouraged to apply as soon as possible. Koniag Advisory and Business Solutions, LLC a Koniag Government Services company, is seeking a Cloud Data Architect (Snowflake), SME to support KABS and our government customer in Washington, DC. The position is hybrid, requires 1 day onsite. This position requires the candidate to be able to obtain a Public Trust. Benefits include medical, dental, and vision insurance, 401(k) retirement plan, paid time off, paid parental leave, life and disability insurance, flexible spending accounts, commuter benefits and tuition reimbursement. 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. Education and Experience: Required:
Education and Experience: Required: 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:
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. Required Skills and Competencies:
Required Skills and Competencies: 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:
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We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
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Washington, DC, USA
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