Enterprise Data Architect (Snowflake with cloud and ETL)

  • Posted 1 day ago | Updated 1 day ago

Overview

Remote
$65 - $70
Contract - W2
Contract - 06 Month(s)

Skills

Proficiency in data sharing and zero-ETL integration Strong understanding of data warehousing
data modeling
and ETLELT processes.
Proficiency in SQL
Python
and cloud platforms (AWS
Azure
GCP).
Experience with BI tools (e.g.
Power BI
Tableau).
5 years of experience in data architecture or solution architecture.
3 years of hands-on experience with Snowflake.

Job Details

  • Integrate Snowflake with cloud platforms (AWS, Azure, Google Cloud Platform) and ETL tools (Informatica, DBT, Talend).
  • Lead deployment of Snowflake solutions including data ingestion, transformation, and visualization.

Key Responsibilities:

Architect end-to-end data warehousing and analytics solutions using Snowflake.

Design scalable and efficient data architectures aligned with business needs and best practices.

Develop and manage data pipelines and workflows.

Optimize performance of data integration processes.

Integrate Snowflake with cloud platforms (AWS, Azure, Google Cloud Platform) and ETL tools (Informatica, DBT, Talend).

Lead deployment of Snowflake solutions including data ingestion, transformation, and visualization.

Design and implement data governance and security policies.

Ensure data accuracy, consistency, and compliance.

Conduct discovery sessions and technical demos.

Provide expert guidance during pre-sales and solution design stages.

Document architectural solutions and best practices.

Train internal teams and clients on Snowflake usage

Required Qualifications:

Bachelors degree in Computer Science, IT, Data Science, or related field.

5 years of experience in data architecture or solution architecture.

3 years of hands-on experience with Snowflake.

Total 10+ experience required

Experience:

Proficiency in data sharing and zero-ETL integration Strong understanding of data warehousing, data modeling, and ETLELT processes.

Proficiency in SQL, Python, and cloud platforms (AWS, Azure, Google Cloud Platform).

Experience with BI tools (e.g., Power BI, Tableau).

Excellent problem-solving, communication, and collaboration skills.

Preferred Skills:

Domain Knowledge on SAP CRM Salesforce CRM is an added advantage Experience with forecasting, anomaly detection, and classification using Snowflake.

Familiarity with data integration tools like MuleSoft, Streamsets.

Ability to lead technical presentations and proof-of-concepts.

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