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Data Architect - W2

Hybrid in Plano, TX, US • Posted 1 day ago • Updated 1 day ago

Contract W2

24 Months

No Travel Required

Able to Sponsor

Hybrid

$70/hr

Fitment

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Job Details

Skills

Data Architecture
Data Modeling
Metadata
PL/SQL
Materialized Views/Designing

Summary

Data Architect

Plano, TX- Hybrid role
only local as F2F required

$70 pr hr on W2

W2 Candidates –Visa open
H1b Transfer is also fine

Main Skills:

Data Architecture
Data Modeling
Metadata
PL/SQL
Materialized Views/Designing

As a Data Architect, you will:

Required Qualifications

8+ years of experience in enterprise data architecture, database architecture, or data platform architecture.
Strong experience with Oracle relational databases and enterprise data models.
Experience designing performant data access patterns for analytics, reporting, or AI-enabled query systems.
Experience with metadata onboarding, data catalogs, business glossaries, and semantic modeling.
Advanced SQL, especially Oracle SQL.
Data and Metadata Onboarding
Identify and document the required SPI Oracle database schemas, tables, views, columns, keys, relationships, and constraints needed for GenAI.
Define the onboarding scope for structured data, including source systems, subject areas, entities, and key data products.
Extract, validate, and organize technical metadata from Oracle using tools such as Toad, SQL scripts, catalog exports, or database dictionary queries.
Establish metadata standards for table descriptions, column definitions, data types, keys, data classifications, and business relevance.
Work with business and data SMEs to validate whether the onboarded data accurately represents the enterprise process management business domain.
Toad for Oracle or equivalent Oracle metadata extraction tools.
Data catalog or metadata management platforms.
Git or enterprise source control.
CI/CD awareness for database scripts and metadata assets.
Strong understanding of PL/SQL concepts.
Working knowledge of Python for metadata extraction, profiling, or automation is preferred.
Familiarity with YAML / JSON metadata formats is useful.

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: 91170923
Position Id: 9092864
Posted 1 day ago

Contact the job poster

Raju Endla

Recruiter @ Congensys Corp.

View Profile

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