

SR Data Lead
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a SR Data Lead (Snowflake Architect) with a contract duration of 6 to 12 months, offering remote work. Key skills include Snowflake, AWS, Azure, GCP, data security, and ETL. Multi-cloud experience is essential.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
June 13, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
Remote
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
United States
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π§ - Skills detailed
#Disaster Recovery #Documentation #Data Engineering #AWS (Amazon Web Services) #ADLS (Azure Data Lake Storage) #Scala #Data Ingestion #Security #Databases #Compliance #Monitoring #Snowflake #Azure #"ETL (Extract #Transform #Load)" #S3 (Amazon Simple Storage Service) #Storage #Data Security #SnowPipe #Google Cloud Storage #AutoScaling #GCP (Google Cloud Platform) #Cloud
Role description
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Job Role : Snowflake Architect
Location: Remote
Duration: 6 to 12 Months
JD:
Β· Design and implement Snowflake environments from scratch across AWS, Azure, and Google Cloud Platform, ensuring seamless multi-cloud data warehousing.
Β· Collaborate with cloud architects and infrastructure teams to integrate Snowflake with other cloud services (e.g., S3, ADLS, Google Cloud Storage).
Β· Configure Snowflake accounts, virtual warehouses, databases, and schemas tailored to business requirements.
Β· Define and implement data security policies, role-based access controls, and compliance measures across cloud environments.
Β· Establish best practices for workload management, auto-scaling, and cost-efficient resource usage in multi-cloud setups.
Β· Setup and support pipelines for data ingestion from various sources leveraging Snowpipe, third-party ETL tools, and cloud-native data services.
Β· Develop multi-cloud disaster recovery plans and implement proactive monitoring and alerting solutions.
Β· Create comprehensive documentation and train internal teams on Snowflake usage, architecture, and multi-cloud considerations.
Β· Work closely with data engineers, analysts, and business stakeholders to deliver scalable, secure, and performant Snowflake solutions.