Senior Analytics Architect

Our client is seeking a hands-on technical leader to architect enterprise-scale data solutions with a strong emphasis on Snowflake architecture, governance, optimization, and Snowflake Cortex/GenAI capabilities.

Responsibilities

• Architect, design, and optimize scalable enterprise data solutions using Snowflake and Azure
• Establish and improve Snowflake best practices, governance, permissions, standards, and data management strategies
• Develop and optimize data pipelines, ETL processes, and data platforms using technologies such as dbt, Python, SQL, and Airflow
• Drive Snowflake performance, cost optimization, DataOps, data quality, and production troubleshooting initiatives
• Support and advance AI/GenAI initiatives, including the use of Snowflake Cortex and enterprise AI capabilities
• Partner with business and technical stakeholders across the organization to translate analytics needs into effective data architecture solutions
• Provide technical guidance and mentorship to engineering teams and offshore resources while remaining hands-on

Requirements

• 4+ years of strong data engineering, data architecture, or analytics architecture experience; 7+ years preferred
• Deep, hands-on Snowflake expertise, including architecture, optimization, governance, permissions, standards, and environment setup
• Snowflake Cortex experience/exposure is required
• Strong proficiency with SQL and Python
• Experience designing and supporting scalable enterprise data platforms across multiple business units
• Experience with data warehousing/lake architectures, ETL/data pipelines, and cloud technologies, particularly Azure
• Strong stakeholder communication skills with a professional, business-facing presence

Preferred Qualifications

• Experience with dbt, Airflow, Informatica, or comparable data engineering/ETL technologies
• GenAI, LLM, AI copilot, or AI/data platform architecture experience
• Experience with responsible AI, AI security, or enterprise AI governance
• Tableau or other enterprise data visualization/BI platforms
• API development and integration experience
• Experience with SAP or other large enterprise data environments
• Experience working with GitHub, Jira, and Agile development methodologies

Key Competencies & Behaviors

• Professional Communication: Confident, polished, and effective when partnering with technical and business stakeholders
• Enterprise Mindset: Able to design solutions that scale across diverse business units and complex data environments
• Analytical & Problem-Solving: Strong troubleshooting skills with a data-driven approach to performance, quality, and optimization challenges
• Technical Leadership: Demonstrates architectural ownership and provides guidance without relying on direct-report authority
• Growth Mindset: Eager to expand analytics capabilities toward data science, AI, and GenAI while maintaining strong engineering fundamentals

Work Environment

This is a full-time, remote opportunity.

Pay

The approximate pay range for this position is $91,000.00 to $130,000.00 annually. Final compensation may vary based on factors including background, knowledge, skills, and location.

Benefits

• Medical, Dental, & Vision Insurance Plans
• Employee-Owned Profit Sharing (ESOP)
• 401K