Data Architect 2

About the role

Data Architect 2 position for a long-term project based 100% on site in either Las Vegas, NV or Carson City, NV. Duration extends to at least June 30, 2027 with very possible extensions. Compensation ranges from $50.00 to $55.00 per hour. Candidates must be US Citizens, Green Card holders, or authorized to work in the U.S. and must pass the client's criminal background check before starting.

Responsibilities

Core Responsibilities (Primary Architecture & Engineering Work)

• Design, evaluate, implement, and optimize Data and Analytics architecture and technologies
• Hands-on experience with Azure-based Lakehouse components (ADLS, ADF, Databricks, Snowflake, Synapse, MS Fabric) is an added benefit
• General understanding of networking, server, identity, and security architectures as they relate to data architecture
• 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 for the client, 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

Requirements

Education

Relevant education, professional training, or equivalent practical experience in Computer Science, Information Systems, Data Engineering, or a related technical discipline.

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, Lakehouses, 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

Qualifications

• Must be able to pass the client's criminal background check before starting work
• Must work on site 100%, in either Carson City, NV or Las Vegas, NV
• US Citizen, Green Card holder, or authorized to work in the U.S.

Benefits

• Comprehensive medical benefits
• Competitive pay
• 401(k) retirement plan

Pay

$50.00 - $55.00 per hour

Schedule

100% on site in Las Vegas, NV or Carson City, NV. Duration to at least June 30, 2027 with very possible extensions.