Date Posted: 10/19/2026
Hiring Organization: Rose International
Position Number: 509447
Industry: Government/Staffing
Job Title: Enterprise Data Architect
Job Location: Carson City, NV, USA, 89712
Work Model: Onsite
Shift: 8am to 5pm
Employment Type: Temporary
FT/PT: Full-Time
Estimated Duration (In months): 11
Min Hourly Rate($): 55.00
Max Hourly Rate($): 62.00
Must Have Skills/Attributes: Cloud, Database, ETL, SQL
Experience Desired:
Enterprise data architecture, data modeling, data warehousing, Lakehouse solution. (5+ yrs),
Experience designing and implementing conceptual, logical, and physical data models (5 yrs),
Experience translating business requirements into scalable data architecture solutions (5 yrs),
Experience designing data integration solutions and working with enterprise databases (5 yrs),
Strong proficiency in SQL and understanding of relational database concepts, data modeling (5 yrs),
Strong understanding of modern data architectures, including data warehouses, Lake houses (5 yrs),
Knowledge of ETL/ELT processes, data pipelines, metadata management, data lineage (5 yrs)
Required Minimum Education: High School Diploma or equivalent
Preferred Education: Bachelor's Degree
**C2C is not available**
Job Description
Education
Relevant education, professional training, or equivalent practical experience in Computer Science, Information Systems, Data Engineering, or a related technical discipline.
Job Requirements
Experience
Minimum of five years of relevant experience in enterprise data architecture, data modeling, data warehousing, Lakehouse solutions, or modern data platform design and implementation.
Experience designing and implementing conceptual, logical, and physical data models in enterprise environments.
Experience translating business requirements into scalable data architecture solutions.
Experience designing data integration solutions and working with enterprise databases, data warehouses, or modern cloud-based data platforms.
Technical Skills & Competencies
Strong proficiency in SQL and understanding of relational database concepts, data modeling, and query optimization.
Strong understanding of modern data architectures, including data warehouses, Lake houses, cloud data platforms, and data integration patterns.
Ability to evaluate database technologies, storage solutions, and data processing platforms based on business and technical requirements.
Knowledge of ETL/ELT processes, data pipelines, metadata management, data lineage, and data quality techniques.
Understanding of cloud architecture principles and technologies as they relate to enterprise data platforms.
Strong understanding of entity-relationship modeling, metadata management, and data quality standards.
Ability to assess traditional and modern data architecture components and align architectural decisions with business needs and organizational strategies.
Strong analytical, troubleshooting, and problem-solving skills.
Strong communication and interpersonal skills, including the ability to present complex architectural concepts to technical teams, business stakeholders, and leadership.
Ability to collaborate effectively across cross-functional teams and provide technical guidance on solution design and architecture.
Description:
Data Architect (Level 2) Job Description
Core Responsibilities (Primary Architecture & Engineering Work)
Extensive experience designing, evaluating, implementing, and optimizing Data and Analytics architecture and technologies.
Added benefit: hands-on experience with Azure-based Lakehouse components (ADLS, ADF, Databricks, Snowflake, Synapse, MS Fabric).
General understanding of networking, server, identity, and security architectures as they relate to data architecture (e.g., how data platforms interact with networks, compute, and security patterns). Define and validate appropriate data access and protection controls across ingestion, storage, transformation, reporting, and data export layers in collaboration with security and platform teams.
Define conceptual, logical, and physical data models, including reporting data models, shared measures, consistent business definitions, historical reporting requirements, and authorized data consumption patterns in collaboration with reporting owners.
Translate business requirements into appropriate data models, metadata specifications, and data quality requirements.
Create and maintain enterprise data and analytics architecture diagrams and roadmaps.
Map current-state and target-state data flows across systems and applications.
Define and maintain end-to-end data lineage across ingestion, transformation, and consumption layers.
Maintain source inventory, ownership, dependencies, and transition plans.
Architect, document, and oversee ETL/ELT pipelines and multi-stage transformations.
Implement automated CI/CD pipelines to ensure reliable and consistent delivery of data platform components.
Design ingestion, staging, curation, and serving layers within Lakehouse environments.
Ensure pipeline architectures support reliability, auditability, lineage tracking, and monitoring.
Establish and enforce enterprise data standards, metadata definitions, and naming conventions.
Define integration patterns for batch, streaming, event-driven, and API-based data flows.
Define and maintain source-to-consumer data contracts covering schemas, keys, data freshness, quality expectations, governance standards, compatibility, and change notification.
Recommend platform choices for storage, processing, modeling, and analytics, including evaluation of database technologies, storage optimization, and emerging data platform capabilities.
Identify opportunities to simplify existing data architecture, promote reusable data services and integration patterns, and optimize platform costs while maintaining scalability and performance.
Secondary Responsibilities (Governance, Quality, and Compliance)
Align data architecture with enterprise strategy, business architecture, and IT standards.
Participate in governance activities (metadata, lineage, stewardship, quality).
Conduct peer reviews and quality assurance of data architecture designs and technical artifacts, ensuring alignment with enterprise architecture standards, governance processes, and long-term strategy.
Implement data quality validation, profiling, and automated checks within pipelines.
Support policies for data security, privacy, retention, and compliance.
Ensure consistent enterprise-wide data definitions and semantics.
Supporting Responsibilities (Collaboration, Communication & Leadership)
Collaborate with data engineers, analysts, DBAs, solution architects in other IT domains, and business teams, including engagement with business stakeholders to align architecture decisions with organizational priorities and strategic roadmaps.
Provide guidance and mentorship on architecture patterns and data platform best practices.
Contribute to enterprise architecture planning and data modernization roadmaps.
Communicate technical concepts clearly to both technical and non-technical audiences.
Participate in cross-functional discussions involving data, application, networking, security, systems, database, and governance teams.
- **Only those lawfully authorized to work in the designated country associated with the position will be considered.**
- **Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client's business needs and requirements.**
Benefits:
For information and details on employment benefits offered with this position, please visit here. Should you have any questions/concerns, please contact our HR Department via our secure website. California Pay Equity:
For information and details on pay equity laws in California, please visit the State of California Department of Industrial Relations' website here. Rose International is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender (expression or identity), national origin, arrest and conviction records, disability, veteran status or any other characteristic protected by law. Positions located in San Francisco and Los Angeles, California will be administered in accordance with their respective Fair Chance Ordinances. If you need assistance in completing this application, or during any phase of the application, interview, hiring, or employment process, whether due to a disability or otherwise, please contact our HR Department.Rose International has an official agreement (ID #132522), effective June 30, 2008, with the U.S. Department of Homeland Security, U.S. Citizenship and Immigration Services, Employment Verification Program (E-Verify). (Posting required by OCGA 13/10-91.).
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