Data Architect

OpenKyber LLC
Atlanta, GA, United States
6 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Amazon Web Services Microsoft Azure Data Architecture Information Engineering Data Governance Data Integration Data Mart Data Migration Data Security Data Warehousing Database Design
+14 more
Graph Database Logical Data Models Metadata Metadata Repositories MongoDB Cloud Services Enterprise Data Management Google Cloud Snowflake Data Layers Data Lineage Data Management Api Design Databricks

Job description

  • Define enterprise conceptual and logical data models.
  • Build reusable enterprise data products and standards.
  • Support modernization and data migration initiatives.
  • Establish data governance, quality, metadata and lineage standards.
  • Work with cloud, engineering and data teams on technical designs.
  • Ensure data is secure, governed and ready for future AI/analytics use cases.
  • Collaborate with multiple business domains and stakeholders.

Preferred Industry : Public Sector, Healthcare, or Financial Services. For applications and inquiries, contact:hirings@openkyber.com

Requirements

Interview : Hiring Manager Screening Virtual Interview with 2 panel members Final In-Person Interview Must-Have Skills

  • 10+ years in Data Architecture / Information Architecture / Enterprise Architecture
  • 8+ years in Data Architecture, Data Engineering, Database Design & Data Modeling
  • Experience with Data Warehouses / Data Marts
  • Experience with MDM (Master Data Management)
  • 5+ years with Snowflake, Databricks, MongoDB
  • Strong experience with AWS / Azure / Google Cloud Platform cloud data platforms
  • Data Security, Privacy & Regulatory Compliance
  • Data Quality initiatives and tools
  • Metadata, Data Lineage, Data Catalog & Data Governance
  • Experience with large-scale Modernization / Digital Transformation
  • Enterprise Data Products and reusable data models
  • API-first / Data integration architecture
  • AI enablement, Semantic Layers or Knowledge Graphs is a plus

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