Remote Data Architect: Scalable Data Lake & AI Pipelines

IntellectFaces, Inc

Washington (District of Columbia)

Hybrid

USD 120,000 - 180,000

Part time

3 days ago

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Job summary

IntellectFaces, Inc. is seeking a Data Architect to design and implement an enterprise-scale data lake and cloud data platform. This remote, contract role focuses on scalable, secure architectures and high-performance analytics.

You will work with Snowflake, S3, and modern data governance practices to deliver Bronze/Silver/Gold data layers, AI-enabled pipelines, and robust metadata management. Strong coordination with stakeholders is essential.

Qualifications

Proven experience designing enterprise-scale Data Lake and Cloud Data Platform architectures.
Strong expertise with Snowflake.
Experience with Amazon S3 or other cloud object storage platforms.
Hands-on experience with data integration tools such as Hevo, SSIS, Boomi.
Experience integrating enterprise applications such as Salesforce.
Strong understanding of structured and unstructured data management.
Experience designing AI/ML-ready data pipelines.
Knowledge of metadata management, data cataloguing, and data governance frameworks.
Experience with data orchestration tools and workflow automation.
Understanding of modern data lakehouse architecture and medallion (Bronze/Silver/Gold) data modelling.

Responsibilities

Evaluate current data architecture and propose scalable data lake strategy.
Design enterprise data lake architecture for structured and unstructured data.
Review and optimize data ingestion framework, Snowflake-centric.
Define best practices for ingestion, orchestration, metadata management, and governance.
Design AI-enabled data pipelines for analytics and automation.
Implement data catalog and metadata management solutions.
Define data orchestration strategies across integration platforms.
Develop guidance for Bronze, Silver, Gold data layers and roadmap.
Collaborate with stakeholders to ensure scalable, secure, high-performance data solutions.
Provide architectural documentation and implementation recommendations.