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Data Architect 2

INSPYR Solutions

Las Vegas, Nevada • Yesterday

Easy Apply

Contract

$50 - $55

Data Architect

Luxoft

Remote • Today

Full-time

Cloud Data Architect

Wilcore Technologies Inc.

Remote • 9d ago

Easy Apply

Full-time

160,000 - 170,000

Senior Data Architect / AI Data Architect

DCM Infotech Limited

Remote • Today

Easy Apply

Contract

Depends on Experience

UNIV - Senior Data Architect, Research Analytics - Department of SCTR

Medical University of South Carolina

Remote or South Carolina • Today

Full-time

USD 81,192.00 - 113,730.00 per year

Sr Data Architect with Treasure Data/GenAI/ETL/DW

I-Link Solutions

Remote • 22d ago

Easy Apply

Contract

Depends on Experience

Data Architect

Blackstraw LLC

Remote • 6d ago

Easy Apply

Full-time

Depends on Experience

Data Architect - Dallas, TX

QTech US Inc

Remote or Dallas, Texas • Today

Contract

$DOE

Data Architect - Managed Services

3CLoud

Remote • Today

Full-time

USD 110,000.00 - 165,000.00 per year

Resident Solution Architect (Databricks)

Jupiter IT Solutions LLC

Remote or San Francisco, California • 22d ago

Easy Apply

Contract

70 - 80

Senior Data Platform Architect

Banner Health

Remote or Arizona • Today

Full-time

Compensation information provided in the description

INSPYR Solutions

Job Details

Skills

DATA
ARCHITECT
ANALYTICS
AZURE
LAKEHOUSE
ADLS
ADF
DATABRICKS
SNOWFLAKE
SYNAPSE
MICROSOFT FABRIC
SQL

Summary

Data Architect 2 - Long Term Project - Las Vegas NV OR Carson City, NV (100% On site)

Title: Data Architect 2
Location: 100% on site (Las Vegas NV OR Carson City, NV)
Duration: to at least 06/30/2027 (with very possible extensions)
Compensation: $50.00 – $55.00/hour
Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S.
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 for 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 for CLIENT.
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.

Job 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.

OTHER:
Must be able to pass our client's Criminal background check before starting work. (fast to clear)
Must work on site 100%, in either Carson City NV or Las Vegas NV

Our benefits package includes:

Comprehensive medical benefits
Competitive pay
401(k) retirement plan
…and much more!

About INSPYR Solutions
Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10228513
Position Id: 26-160084
Posted 1 day ago

Company Info

About INSPYR Solutions

As a leading expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients’ business objectives and cultural needs. Our tailored offerings include a wide variety of professional services, project solutions, managed services, and talent resources, all bolstered by our strategic partnerships with cutting-edge technology services. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities.

Fitment

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INSPYR Solutions

Job Details

Skills

DATA
ARCHITECT
ANALYTICS
AZURE
LAKEHOUSE
ADLS
ADF
DATABRICKS
SNOWFLAKE
SYNAPSE
MICROSOFT FABRIC
SQL

Summary

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 for 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 for CLIENT.
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.

Job 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.

OTHER:
Must be able to pass our client's Criminal background check before starting work. (fast to clear)
Must work on site 100%, in either Carson City NV or Las Vegas NV

Our benefits package includes:

Comprehensive medical benefits
Competitive pay
401(k) retirement plan
…and much more!

Dice Id: 10228513
Position Id: 26-160084
Posted 1 day ago

Company Info

About INSPYR Solutions

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

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