Data lake Architect

Remote • Posted 4 hours ago • Updated 4 hours ago
Contract W2
Contract Independent
6 Months
No Travel Required
Remote
$70 - $80/hr
Fitment

Dice Job Match Score™

🎯 Assessing qualifications...

Job Details

Skills

  • Cloud Computing
  • Data Engineering
  • Data Governance
  • Data Modeling
  • Data Architecture
  • Data Lake
  • Data Integration

Summary

JOB TITLE: Data Lake Architect
LOCATION: Remote
DURATION: Contract


Key Responsibilities
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.

Required Skills & Experience
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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91017830
  • Position Id: 35653
  • Posted 4 hours ago
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