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# TELECOMMUTE Data lake Architect

- **Company:** IntellectFaces, Inc.
- **Location:** United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon S3, Business Analytics Applications, Cloud Engineering, Data Architecture, Information Engineering, Data Governance, Data Integration, Data Systems, Meta-Data Management, Salesforce.Com, SQL Server Integration Services, Systems Integration, Technical Data Management Systems, Unstructured Data, Enterprise Software Applications, Cloud Platform System, Data Ingestion, Snowflake, Boomi, Data Layers, Data Lakes, Data Pipelines
- **Published:** July 28, 2026
- **Apply:** https://www.dice.com/job-detail/c2c87145-ec0b-47df-89ca-156faac8e416

## About the Role

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.

Preferred Qualifications
Experience with enterprise data governance platforms.
Familiarity with AI-driven data engineering and automation.
Experience designing scalable cloud-native analytics platforms.
Strong communication and stakeholder management skills.

## Description

Evaluate the current data architecture and recommend a scalable, future-ready data lake strategy.
Design an enterprise data lake architecture that integrates structured and unstructured data.
Review and optimise the existing data ingestion framework, which currently ingests primarily into Snowflake.
Define best practices for data ingestion, orchestration, metadata management, and governance.
Design intelligent (AI-enabled) data pipelines to support advanced analytics and automation.
Recommend and implement technical data catalog and metadata management solutions.
Define data orchestration strategies across multiple integration platforms.
Develop architectural guidance for implementing Bronze, Silver, and Gold data layers, with an initial focus on architecture and planning.
Collaborate with business and technical stakeholders to establish scalable, secure, and high-performance data solutions.
Provide architectural documentation, roadmaps, and implementation recommendations.


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