Data Architecture Lead - POC & Innovation Strategist

Business Intelli Solutions

Exton (PA)

On-site

USD 150,000 - 190,000

Full time

2 days ago
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Job summary

Business Intelli Solutions is seeking an onsite Data Engineering and Architecture lead to drive technology innovation across the enterprise data landscape. You will serve as the subject-matter expert for data engineering and architecture, leading POCs and pilot initiatives for new technologies and platform capabilities.

The role requires 10+ years in data engineering/architecture, deep expertise in Snowflake, Informatica, and Oracle, and a proven ability to lead enterprise-scale data solutions.

Qualifications

  • 10+ years of experience in Data Engineering and Data Architecture.
  • Strong expertise in Snowflake, Informatica, and Oracle technologies.
  • Experience designing enterprise-scale data platforms and integration solutions.
  • Proven ability to independently drive technical discovery, evaluations, and POCs.
  • Excellent stakeholder management, communication, and presentation skills.

Responsibilities

  • Act as the onsite SME for Data Engineering and Data Architecture.
  • Lead Proofs of Concepts (POCs) and pilot initiatives for new technologies, features, and platform capabilities.
  • Stay current with emerging trends, product roadmaps, and enhancements in the data ecosystem.
  • Evaluate and recommend new solutions that improve scalability, performance, and business value.
  • Provide strategic architecture guidance and technology recommendations to stakeholders.

Skills

Data engineering
Data architecture
POCs
Stakeholder management
Communication
Presentation

Tools

Snowflake
Informatica
Oracle

Job description

Business Intelli Solutions is seeking an onsite Data Engineering and Architecture lead to drive technology innovation across the enterprise data landscape. You will serve as the subject-matter expert for data engineering and architecture, leading POCs and pilot initiatives for new technologies and platform capabilities.

The role requires 10+ years in data engineering/architecture, deep expertise in Snowflake, Informatica, and Oracle, and a proven ability to lead enterprise-scale data solutions.

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