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Enterprise Data Architect Consultant

CG Infinity, Inc

Houston, Texas • Today

Full-time

Data & AI Strategy and Delivery Consultant

CGI

Houston, Texas • Today

Full-time

USD 89,600.00 - 218,200.00 per year

Senior Data Engineering Consultant

Beacon Hill

Remote • Today

Easy Apply

Contract

Workday Enterprise Architect

Qualizeal

Remote • 8d ago

Easy Apply

Full-time, Third Party

60 - 80

Architect Enterprise Applications

Paylocity Corporation

Remote • 18d ago

Full-time

USD 190,100.00 - 240,000.00 per year

Salesforce Agentforce Architect Consultant, Salesforce Data Cloud

Xoriant Corporation

Remote • 11d ago

Easy Apply

Third Party, Contract

95 - 100

Workday Enterprise Architect

Axiom Global Technologies, Inc.

Remote • 4d ago

Easy Apply

Contract, Third Party

Depends on Experience

Manufacturing Data Strategy & Architecture Consultant

Siro Clinpharm Pvt Ltd

Remote • 9d ago

Easy Apply

Full-time, Third Party

Depends on Experience

SAP Analytics Cloud & Data Architecture Consultant

PMTS INC

Remote • 14d ago

Easy Apply

Third Party, Contract

Depends on Experience

Business Data Consultant

Imagine Staffing Technology

Remote or Hybrid in Buffalo, New York • Today

Easy Apply

Contract

Data Technology Consultant - Data & AI Modernization

EPAM Systems

Remote or New York, New York • Today

Full-time

Data Technology Consultant - Data & AI Modernization

EPAM Systems

Remote • Today

Full-time

*Data Architect* - Utility/Domain (SingleStore experience is must)

Kellton

Remote • 26d ago

Easy Apply

Contract, Third Party

Depends on Experience

Business Architect & Information Modeling Consultant

INSPYR Solutions

Remote • 19d ago

Easy Apply

Third Party, Contract

Depends on Experience

Google Cloud Platform Cloud/Data Architect

Eliassen Group

Remote or Almont, Colorado • Today

Contract

Principal Architect - Data & AI

SHI International Corporation

Remote • Today

Full-time

USD 200,000.00 - 250,000.00 per year

Salesforce Data Cloud Architect

Brooksource

Remote • Today

Contract

$80.00 - $90.00

AI & Data Strategy Architect

phData

Remote • Today

Full-time

Senior Salesforce Data Cloud Architect

EPAM Systems

Remote • Today

Full-time

Senior Salesforce Data Cloud Architect

EPAM Systems

Remote or New York, New York • Today

Full-time

Data Technology Consultant

EPAM Systems

Remote • Today

Full-time

Data Architect

EPAM Systems

Remote • Today

Full-time

Salesforce Technical Architect, Data & AI

NeuraFlash, Part of Accenture

Remote • Today

Full-time

USD 94,400.00 per year

Job Details

Skills

Decision-making
Business Acumen
Storage
Use Cases
Data Flow
KPI
Management
Analytics
Performance Tuning
Scalability
Accountability
Regulatory Compliance
Privacy
Stakeholder Engagement
Change Management
Data Architecture
Data Engineering
Data Management
Scratch
Data Modeling
Extract
Transform
Load
ELT
Data Integration
Cloud Computing
Google Cloud Platform
Google Cloud
Python
Data Quality
Meta-data Management
Requirements Elicitation
Enterprise Resource Planning
Customer Relationship Management (CRM)
Communication
Facilitation
Leadership
Snow Flake Schema
Databricks
Microsoft Power BI
Tableau
Agile
Microsoft Azure
Amazon Web Services
Data Analysis
Accessibility
Reporting
Data Governance
Master Data Management
Mobile Device Management
Roadmaps

Decision-making
Business Acumen
Storage
Use Cases
Data Flow
KPI
Management
Analytics
Performance Tuning
Scalability
Accountability
Regulatory Compliance
Privacy
Stakeholder Engagement
Change Management
Data Architecture
Data Engineering
Data Management
Scratch
Data Modeling
Extract
Transform
Load
ELT
Data Integration
Cloud Computing
Google Cloud Platform
Google Cloud
Python
Data Quality
Meta-data Management
Requirements Elicitation
Enterprise Resource Planning
Customer Relationship Management (CRM)
Communication
Facilitation
Leadership
Snow Flake Schema
Databricks
Microsoft Power BI
Tableau
Agile
Microsoft Azure
Amazon Web Services
Data Analysis
Accessibility
Reporting
Data Governance
Master Data Management
Mobile Device Management
Roadmaps

Summary

Enterprise Data Architect Consultant

Position Summary
CG Infinity is seeking a strategic and hands-on Enterprise Data Architect to design, build, and lead the implementation of a scalable, enterprise-wide data Lakehouse. This role will be responsible for developing a modern data architecture from the ground up, integrating multiple systems and business units into a unified data ecosystem that drives analytics, reporting, and business decision-making.
The ideal candidate combines deep technical expertise with strong business acumen, capable of leading discovery efforts, defining priorities, and ensuring data solutions are aligned with organizational goals. This individual will also play a key leadership role in establishing data governance, master data management (MDM), and enterprise data standards.

Key Responsibilities
Enterprise Data Architecture & Strategy

Design and implement a scalable, secure, and high-performance enterprise data Lakehouse from inception.
Define the end-to-end data architecture, including data ingestion, transformation, storage, integration, and consumption layers.
Establish architectural standards, frameworks, and best practices aligned with business and technology strategies.
Evaluate and recommend technologies (cloud platforms, ETL/ELT tools, data lakes, Lakehouses) to support long-term scalability.

Cross-Functional Discovery & Requirements Alignment

Lead discovery sessions with business and technical stakeholders to identify high-value use cases, priorities, and dependencies.
Translate business requirements into technical data models, data flows, and architecture designs.
Ensure alignment between data solutions and business objectives, including KPIs, reporting, and analytics needs.
Develop and maintain a data roadmap with clearly defined phases, milestones, and deliverables.

Data Lakehouse Development & Delivery

Oversee development of integrated data pipelines that connect disparate systems (ERP, CRM, operational systems, third-party platforms).
Define and implement data models (conceptual, logical, physical) to support analytics and reporting.
Establish data quality frameworks and ensure reliability, consistency, and integrity of enterprise data.
Ensure performance optimization and scalability of the data environment.

Data Governance & Master Data Management

Develop and implement enterprise data governance policies, standards, and controls.
Lead Master Data Management (MDM) initiatives to standardize key business entities across systems.
Define data ownership, stewardship, and accountability models across business units.
Ensure compliance with regulatory, security, and data privacy requirements.

Leadership & Stakeholder Engagement

Act as a trusted advisor to executive leadership, including the CTO and business leaders.
Communicate complex technical concepts clearly to non-technical stakeholders.
Lead cross-functional teams, including data engineers, analysts, and business users.
Drive adoption of data solutions across the organization through change management and stakeholder alignment.

Required Qualifications

8+ years of experience in data architecture, data engineering, or enterprise data management roles.
Proven experience building an enterprise data Lakehouse from scratch spanning multiple systems and business units.
Strong experience with data modeling, ETL/ELT design, and data integration frameworks.
Hands-on experience with cloud data platforms (e.g., Azure, AWS, or Google Cloud Platform).
Demonstrated expertise in:
- Python Development
- Data Governance frameworks
- Master Data Management (MDM)
- Data quality and metadata management
Experience leading discovery sessions and requirements gathering workshops with senior stakeholders.
Strong understanding of enterprise systems (ERP, CRM, operational apps) and integration patterns.
Excellent communication, facilitation, and leadership skills.

Preferred Qualifications

Experience in consulting environments or multi-client, multi-business unit organizations.
Industry experience in oil & gas or chemical sectors, with an understanding of upstream, midstream, downstream, or refining operations.
Familiarity with modern data tools (e.g., Snowflake, Databricks, Azure Synapse, Power BI, Tableau).
Experience implementing data lakes, Lakehouse architectures, or hybrid data ecosystems.
Knowledge of Agile and iterative delivery methodologies.
Relevant certifications (e.g., Azure Data Architect, AWS Data Analytics, DAMA CDMP).

Success Metrics

Successful delivery of a fully operational enterprise data Lakehouse aligned with business priorities.
Measurable improvement in data accessibility, quality, and reporting capabilities.
Adoption of data governance and MDM practices across business units.
Delivery of a clear project roadmap with defined milestones, timelines, and outcomes.
Positive stakeholder feedback on alignment between business needs and technical solutions.

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: RTX17e6df
Position Id: 6210357315e8021046e6ff76ee4077c9
Posted 30+ days ago

Fitment

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Data Architect, Senior

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Job Details

Skills

Decision-making
Business Acumen
Storage
Use Cases
Data Flow
KPI
Management
Analytics
Performance Tuning
Scalability
Accountability
Regulatory Compliance
Privacy
Stakeholder Engagement
Change Management
Data Architecture
Data Engineering
Data Management
Scratch
Data Modeling
Extract
Transform
Load
ELT
Data Integration
Cloud Computing
Google Cloud Platform
Google Cloud
Python
Data Quality
Meta-data Management
Requirements Elicitation
Enterprise Resource Planning
Customer Relationship Management (CRM)
Communication
Facilitation
Leadership
Snow Flake Schema
Databricks
Microsoft Power BI
Tableau
Agile
Microsoft Azure
Amazon Web Services
Data Analysis
Accessibility
Reporting
Data Governance
Master Data Management
Mobile Device Management
Roadmaps

Decision-making
Business Acumen
Storage
Use Cases
Data Flow
KPI
Management
Analytics
Performance Tuning
Scalability
Accountability
Regulatory Compliance
Privacy
Stakeholder Engagement
Change Management
Data Architecture
Data Engineering
Data Management
Scratch
Data Modeling
Extract
Transform
Load
ELT
Data Integration
Cloud Computing
Google Cloud Platform
Google Cloud
Python
Data Quality
Meta-data Management
Requirements Elicitation
Enterprise Resource Planning
Customer Relationship Management (CRM)
Communication
Facilitation
Leadership
Snow Flake Schema
Databricks
Microsoft Power BI
Tableau
Agile
Microsoft Azure
Amazon Web Services
Data Analysis
Accessibility
Reporting
Data Governance
Master Data Management
Mobile Device Management
Roadmaps

Summary

Design and implement a scalable, secure, and high-performance enterprise data Lakehouse from inception.
Define the end-to-end data architecture, including data ingestion, transformation, storage, integration, and consumption layers.
Establish architectural standards, frameworks, and best practices aligned with business and technology strategies.
Evaluate and recommend technologies (cloud platforms, ETL/ELT tools, data lakes, Lakehouses) to support long-term scalability.

Cross-Functional Discovery & Requirements Alignment

Lead discovery sessions with business and technical stakeholders to identify high-value use cases, priorities, and dependencies.
Translate business requirements into technical data models, data flows, and architecture designs.
Ensure alignment between data solutions and business objectives, including KPIs, reporting, and analytics needs.
Develop and maintain a data roadmap with clearly defined phases, milestones, and deliverables.

Data Lakehouse Development & Delivery

Oversee development of integrated data pipelines that connect disparate systems (ERP, CRM, operational systems, third-party platforms).
Define and implement data models (conceptual, logical, physical) to support analytics and reporting.
Establish data quality frameworks and ensure reliability, consistency, and integrity of enterprise data.
Ensure performance optimization and scalability of the data environment.

Data Governance & Master Data Management

Develop and implement enterprise data governance policies, standards, and controls.
Lead Master Data Management (MDM) initiatives to standardize key business entities across systems.
Define data ownership, stewardship, and accountability models across business units.
Ensure compliance with regulatory, security, and data privacy requirements.

Leadership & Stakeholder Engagement

Act as a trusted advisor to executive leadership, including the CTO and business leaders.
Communicate complex technical concepts clearly to non-technical stakeholders.
Lead cross-functional teams, including data engineers, analysts, and business users.
Drive adoption of data solutions across the organization through change management and stakeholder alignment.

Required Qualifications

8+ years of experience in data architecture, data engineering, or enterprise data management roles.
Proven experience building an enterprise data Lakehouse from scratch spanning multiple systems and business units.
Strong experience with data modeling, ETL/ELT design, and data integration frameworks.
Hands-on experience with cloud data platforms (e.g., Azure, AWS, or Google Cloud Platform).
Demonstrated expertise in:
- Python Development
- Data Governance frameworks
- Master Data Management (MDM)
- Data quality and metadata management
Experience leading discovery sessions and requirements gathering workshops with senior stakeholders.
Strong understanding of enterprise systems (ERP, CRM, operational apps) and integration patterns.
Excellent communication, facilitation, and leadership skills.

Preferred Qualifications

Experience in consulting environments or multi-client, multi-business unit organizations.
Industry experience in oil & gas or chemical sectors, with an understanding of upstream, midstream, downstream, or refining operations.
Familiarity with modern data tools (e.g., Snowflake, Databricks, Azure Synapse, Power BI, Tableau).
Experience implementing data lakes, Lakehouse architectures, or hybrid data ecosystems.
Knowledge of Agile and iterative delivery methodologies.
Relevant certifications (e.g., Azure Data Architect, AWS Data Analytics, DAMA CDMP).

Success Metrics

Successful delivery of a fully operational enterprise data Lakehouse aligned with business priorities.
Measurable improvement in data accessibility, quality, and reporting capabilities.
Adoption of data governance and MDM practices across business units.
Delivery of a clear project roadmap with defined milestones, timelines, and outcomes.
Positive stakeholder feedback on alignment between business needs and technical solutions.

Dice Id: RTX17e6df
Position Id: 6210357315e8021046e6ff76ee4077c9
Posted 30+ days ago

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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