Enterprise Data Architect Consultant at CG Infinity
Houston, TX
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Aug 6, 2026
Houston, TX
Sep 24, 2026
What this job asks for AI summary
A consulting engagement at CG Infinity focused on designing and building an enterprise data Lakehouse from the ground up, integrating ERP, CRM, and other operational systems into a unified analytics ecosystem. The role spans architecture strategy, data pipeline development, governance, and MDM, with significant stakeholder leadership up to the executive level. Best suited to a senior data architect with hands-on delivery experience and consulting or multi-client background.
Senior level · 8+ years · Contract
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How this req sits in the market our data
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $142,568 (middle half $111,775–$173,013).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 8, 2026. It is a model, not a headcount.
Why we read it this way (8)
No work location is specified in the posting. The role is listed as a 'Consultant' position at CG Infinity, suggesting a contract or consulting engagement, but the employment type is not explicitly stated — marked as Contract based on the 'Consultant' framing.
The cloud platform requirement lists Azure, AWS, or GCP as interchangeable options; Azure is used as the primary with the others as alternatives.
Snowflake, Databricks, Azure Synapse, Power BI, and Tableau appear only under Preferred Qualifications.
Industry experience in oil & gas or chemical sectors is listed as preferred but names no specific technology, so it is omitted from the skills list.
Certifications (Azure Data Architect, AWS Data Analytics, DAMA CDMP) are listed as preferred but name no standalone technology skill beyond what is already captured.
The alt SOC (15-1252 Software Developers) reflects the hands-on pipeline and data engineering delivery scope; the primary SOC 15-1243 Database Architects was chosen because the dominant framing is enterprise data architecture, modeling, and Lakehouse design.
Ignored 2 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): data governance, metadata management.
Posting is for a contract engagement — the market benchmarks below price full-time roles, so read the comp comparison with that in mind.
Read the full posting
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