Snowflake lead
Listed on 2026-08-03
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IT/Tech
Data Engineering, Data Warehousing
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, lake houses, and governed analytics platforms supporting AI/ML, forecasting, automation, and advanced analytics.
Lead migration of SAP BI/BW & Business Objects environments, develop Tableau dashboards and Alteryx workflows, implement Juniper Mist AI and Aruba network analytics solutions, & establish data governance, security, quality, & perf. optimization.
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, Business Objects
- Juniper Mist AI, Aruba Wireless Networking
- Machine Learning, Generative AI, Advanced Analytics
- Data Governance, Security, Metadata & Lineage Management
- Cloud Architecture and Analytics Modernization
- 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.
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