Description

You will architect and implement scalable, secure data solutions on Snowflake and BI platforms while leading technical client engagements.

Responsibilities

• Architect end-to-end data pipelines and data models, including calculated columns and measures, for Snowflake and BI tools.
• Lead discovery workshops to define business requirements and technical ecosystems.
• Direct technical engagements and guide data engineers and analysts in implementing best practices.
• Drive pre-sales activities by delivering POCs, POVs, and technical presentations to prove functional capabilities.
• Collaborate with sales teams on RFP responses and identify upsell opportunities through technical solutioning.
• Establish and enforce governance, security, and compliance standards within Snowflake and BI environments.

Required Skills

• 15+ years of experience in data architecture, engineering, or analytics roles.
• 5+ years of hands-on experience with Snowflake.
• Expertise in Snowflake architecture, including data sharing, performance optimization, and data security.
• Proficiency with BI and visualization tools such as Power BI or Tableau.
• Deep understanding of modern data architecture and cloud platforms including AWS, Azure, or GCP.
• Strong proficiency in SQL and Python.
• Experience with ETL tools such as DBT, Informatica, Matillion, Fivetran, or Talend.
• Hands-on experience with data modeling, schema design, and ELT pipeline development.
• Knowledge of cloud-native services for ingestion and orchestration, such as AWS Glue, Azure Data Factory, or GCP Dataflow.

Preferred Skills

• Snowflake Advanced Certifications (SnowPro Core, Architect, or Data Engineer).
• Cloud platform certifications in AWS, Azure, or GCP.

Key Skills

Education

Any Graduate