Lead Enterprise Data Lakehouse Architect

CG Infinity

Houston (TX)

On-site

USD 120,000 - 190,000

Full time

14 days+

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Job summary

CG Infinity is seeking a strategic and hands-on Enterprise Data Architect to design and lead the implementation of a scalable, enterprise-wide data Lakehouse. This role will unify ERP, CRM, and other systems into a single data ecosystem to accelerate analytics, reporting, and business decisions.

The ideal candidate combines deep technical expertise with strong business acumen, can lead discovery, define priorities, and establish data governance, MDM, and enterprise data standards while guiding

Qualifications

  • 8+ years of experience in data architecture or enterprise data management.
  • Experience building an enterprise data Lakehouse across multiple systems.
  • Strong data modeling, ETL/ELT design, and data integration frameworks.
  • Hands-on with cloud data platforms (Azure, AWS, or GCP).
  • Expertise in data governance, MDM, data quality and metadata management.
  • Experience leading discovery sessions with senior stakeholders.
  • Understanding of ERP, CRM, and operational apps integration.
  • Excellent communication and leadership skills.

Responsibilities

  • Design and implement scalable enterprise data Lakehouse.
  • Define end-to-end data architecture including ingestion, storage, integration, and consumption.
  • Establish standards, frameworks, best practices.
  • Lead cross-functional discovery and align requirements.
  • Oversee data pipelines across systems (ERP, CRM, etc).
  • Lead data governance and MDM initiatives.
  • Engage with executives and drive adoption.

Skills

Data Architecture
Data Modeling
ETL/ELT
Cloud Platforms
MDM
Data Governance
Stakeholder Leadership
Python

Tools

Snowflake
Databricks
Azure Synapse
Power BI
Tableau

Job description

CG Infinity is seeking a strategic and hands-on Enterprise Data Architect to design and lead the implementation of a scalable, enterprise-wide data Lakehouse. This role will unify ERP, CRM, and other systems into a single data ecosystem to accelerate analytics, reporting, and business decisions.

The ideal candidate combines deep technical expertise with strong business acumen, can lead discovery, define priorities, and establish data governance, MDM, and enterprise data standards while guiding

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