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E-Solutions Inc.

Snowflake lead Location - Sunnyvale, CA

Pay: Not specified

Posted: 7 weeks ago

Location: Sunnyvale, CA (Onsite)

Last Updated: 6 hours ago

Hours: Full-Time

Expires: 10/20/2026

Job Description

Snowflake lead Location

Sunnyvale, CA (Sunnyvale, CA, 94086) | 07/30/26 Job Description Role
Snowflake lead Location
Sunnyvale, CA Required skills: Lead enterprise digital transformation initiatives to modernize legacy data, analytics, reporting, AI, and networking platforms into scalable cloud-native ecosystems.

Design and implement data architectures using Snowflake, Databricks, AWS, Azure, and GCP. Build real-time and batch data pipelines using HVR/CDC, ETL, and ELT frameworks, integrating SAP, ERP, CRM, finance, supply chain, and network telemetry data. Architect data warehouses, lakehouses, and governed analytics platforms supporting AI/ML, forecasting, automation, and advanced analytics. Lead migration of

SAP BI/BW

& BusinessObjects environments, develop Tableau dashboards and Alteryx workflows, implement Juniper Mist AI and Aruba network analytics solutions, & establish data governance, security, quality, & perf. optimization.

Nice to have skills:

Required Skills & Technologies

Snowflake, Databricks, HVR/CDC
AWS, Azure, Google Cloud Platform (GCP)
SQL, Python, Spark
ETL/ELT, Data Modeling, Data Warehousing, Lakehouse Architecture
Tableau, Alteryx, SAP BI, SAP BW, BusinessObjects
Juniper Mist AI, Aruba Wireless Networking
Machine Learning, Generative AI, Advanced Analytics
Data Governance, Security, Metadata & Lineage Management
Cloud Architecture and Analytics Modernization Preferred Experience
10+ years in enterprise data, analytics, cloud, and digital transformation initiatives.
Proven leadership in large-scale modernization, AI, and analytics programs.
Strong stakeholder management and cross-functional collaboration skills. Snowflake lead Location
Sunnyvale, CA1Snowflake United States

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What they do

A Data Science Manager manages a team of data scientists, machine learning engineers and big data specialists. They lead data mining and collection procedures, ensure data quality and integrity, build analytic systems and predictive models, and test the performance of data science products.

$180,727 / year median in California

+17% projected growth

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