AI Data Platform & Architecture - Remote

Cyber Sphere LLC
United States
7 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$166,400.0
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Software as a Service Data Architecture Data Governance Data Infrastructure Extract Transform Load (ETL) Data Warehousing Power BI Salesforce.Com SQL Databases Enterprise Data Management
+1 more
Snowflake

Job description

Scope: Lead the architecture, modernization, and governance of clients enterprise data platform. This role will design and scale AI-ready data infrastructure across Snowflake, Power BI, Salesforce, APIs, and enterprise data integration platforms while establishing enterprise-wide data standards and best practices.

Requirements

  • Deep hands-on experience with Snowflake, SQL, data modeling, ELT/ETL processes, and enterprise data warehouse architecture.
  • Strong experience with Power BI semantic models, data governance, security, role-based access controls, and enterprise reporting platforms.
  • Proven ability to lead enterprise data architecture initiatives, integrate data from Salesforce, finance systems, APIs, and SaaS platforms, and support AI-ready data environments.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:33 min

Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · World Congress 2026 Europe

1:24 min

Moving the semantic layer upstream to avoid vendor lock-in

Piotr Menclewicz Piotr Menclewicz · Europe 2026 Virtual

1:14 min

Evolution of distributed SQL database architectures

Wei Hu Wei Hu · World Congress 2024

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

2:46 min

Transforming data architecture from on-premise to cloud

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

1:36 min

Evolution from key-value stores to distributed SQL

Wei Hu Wei Hu · World Congress 2025

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