Snowflake Senior Data Architect

Overview

Job description:

The Snowflake Data Arch Lead is responsible for architecting and delivering enterprise-scale data solutions using Snowflake, DBT, SQL, and Python. This role provides architectural leadership, drives technical strategy, and ensures alignment with industry best practices. The position plays a critical part in enabling data-driven decision-making, fostering innovation, and establishing governance for robust, scalable, and secure data platforms.

• Provide Architectural Leadership By Designing And Implementing Enterprise-Scale Data Solutions Using Snowflake, Ensuring Scalability, Performance, And Alignment With Organizational Objectives.
• Define And Enforce Data Modeling Standards And Best Practices In Snowflake And Dbt, Establishing Governance And Compliance Measures Across All Project Deliverables.
• Lead The Integration Of Data Pipelines Using Python And SQL, Optimizing ETL/ELT Workflows For Reliability And Efficiency.
• Collaborate With Business Stakeholders To Translate Complex Requirements Into Innovative Snowflake-Based Architectures That Support Strategic Business Initiatives.
• Guide And Mentor Technical Teams In Adopting Advanced Snowflake Features, DBT Transformations, And SQL Optimization Techniques To Ensure Delivery Excellence.
• Oversee Architectural Reviews And Ensure All Solutions Adhere To Security, Compliance, And Data Governance Standards Within The Snowflake Ecosystem.
• Drive Continuous Knowledge Enhancement By Evaluating Emerging Snowflake Features And Industry Trends, And Disseminating Best Practices Across Teams.
• Contribute To Organizational Thought Leadership By Submitting Whitepapers, Participating In Industry Forums, And Supporting Patent Filings In The Data Architecture Domain.

• Architectural Leadership In Snowflake, Including Advanced Proficiency In Data Warehousing Concepts, Security, And Scalability
• InDepth Expertise In DBT For Data Transformation And Workflow Orchestration
• Advanced Proficiency In SQL For Complex Data Modeling, Query Optimization, And Analytics
• Solid Experience With Python For Data Engineering And Automation Tasks
• Excellent Understanding Of Data Governance, Compliance, And Security Best Practices In Cloud Data Platforms
• Strong Ability To Translate Business Requirements Into Scalable Technical Solutions

• Snowflake Snowpro Advanced Architect Certification (Optional But Valuable)
• DBT Advanced Certification (Optional But Valuable)
• Relevant Cloud Platform Certifications (e.g., AWS Certified Data Analytics – Specialty, Google Professional Data Engineer) Are An Advantage