Sr Developer Snowflake Data Platform (MDM)

Orgill; Collierville (TN); On-site; USD 90,000 - 130,000; Full time

Job summary

Orgill is seeking a motivated Mid-level Snowflake Developer to join our Master Data Management (MDM) team. You will be key in architecting, securing, and optimizing our Snowflake environment, ensuring a single source of truth for data analytics and business intelligence.

The ideal candidate will have a Bachelor’s degree in IT or Computer Science, with 3–5 years’ experience in Snowflake or similar platforms. Strong SQL and Python skills are required, along with expertise in data modeling and visualization tools.

Qualifications

• 3–5 years of experience with Snowflake or similar cloud-based data platforms.
• Strong understanding of data warehousing concepts and database design.
• Ability to automate data workflows using Python.

Responsibilities

• Lead the maintenance and evolution of the Snowflake cloud data platform.
• Design and implement efficient data schemas for MDM workflows.
• Collaborate with data engineering for data ingestion optimization.

Skills

Snowflake

SQL

Python

Tableau

Data Modeling

Education

Bachelor’s degree in IT, Computer Science, or a related field

Tools

Jira

Salesforce

Job description

Overview

We are seeking a motivated Mid-level Snowflake Developer to join our Master Data Management (MDM) team. You will play a pivotal role in architecting, optimizing, and securing our Snowflake environment to ensure a "single source of truth" for the organization’s data analytics and business intelligence initiatives. The ideal candidate brings a blend of technical expertise in cloud data warehousing, a disciplined approach to data governance, and the analytical mindset to translate business ambiguity into technical reality.

Responsibilities

• MDM & Snowflake Architecture: Lead the maintenance and evolution of the Snowflake cloud data platform.
• Data Modeling: Design and implement efficient schemas (Star/Snowflake) that support complex MDM workflows.
• Pipeline Optimization: Collaborate with data engineering to streamline data ingestion from sources like Salesforce.
• Technical Scoping & Roadmap: Deconstruct complex business requirements into high-level technical designs and granular, actionable tasks for the development sprint.
• Agile Coordination: Actively participate in Sprint planning and stand-ups to provide effort estimations, identify technical dependencies, and communicate progress to non-technical partners.
• Impact Analysis: Evaluate how new data requirements or schema changes will impact downstream Tableau reporting and existing MDM lifecycles.

Security, Governance & Support

• Access Control: Configure and manage advanced security services, including RBAC and data masking.
• Cross-Functional Partnership: Act as a technical bridge between BI, Retail services, and other teams to translate requirements into high-performance solutions.
• Troubleshooting: Provide Tier-2 support for complex technical issues, ensuring minimal downtime.
• Mentorship: Guide junior team members in understanding the complete data analytics stack and workflow.

Qualifications & Tech Stack

Education & Experience

• Education: Bachelor’s degree in IT, Computer Science, or a related field.
• Experience: 3–5 years working with Snowflake or similar cloud-based data platforms
• Analytical Depth: Strong understanding of data warehousing concepts, database design, and the MDM lifecycle.

Technical & Professional Skills

• SQL: Proficiency in writing complex, optimized queries.
• Python: Ability to automate data workflows and perform advanced data manipulation.
• Visualization & CRM: Experience with Tableau and familiarity with Salesforce data structures.
• Project Fluency: Proficiency in task management tools (e.g., Jira) and a proven ability to document technical specifications into actionable tasks.
• Problem-Solving: Ability to troubleshoot complex, multi-layered technical issues.