Expert Data Analytics Engineer

Key Responsibilities
Design, develop, and lead the implementation of complex star-schema data models, including fact, dimension, bridge, and aggregate tables
Build, optimize, and govern dbt frameworks, models, testing strategies, and reusable development patterns
Architect, optimize, and troubleshoot large-scale Snowflake data structures, data pipelines, and SQL workloads
Define and enforce enterprise data modeling standards, best practices, and design patterns
Lead architectural decisions related to dimensional modeling, normalization, denormalization, and analytical data structures
Collaborate with Data Engineers, BI Developers, Product Owners, Architects, and business stakeholders to deliver scalable analytical solutions
Mentor team members, conduct technical design reviews, and provide technical leadership across analytics engineering initiatives
Drive data quality, performance optimization, governance, documentation, and continuous improvement of the analytics platform
Apply DevOps practices and observability tools, including GitHub and Datadog, to support reliable analytics engineering workflows
Translate complex technical concepts into business value and align data architecture decisions with enterprise analytics objectives

Required Qualifications
8+ years of experience
Bachelor's Degree
DP-203
SnowPro

Skills
dbt Development
Snowflake
SQL Optimization
Data Warehousing
DevOps Practices
GitHub
Datadog
Azure Data Factory (ADF)
Azure Synapse Analytics
Microsoft Fabric
Python
Data Vault Modeling
Dimensional Data Modeling
Data Architecture Leadership
Mentoring and Coaching
Stakeholder Management
Data Governance
Technical Documentation
Data Quality Management

Schedule
Start date: 2026-11-02