Senior Data Analytics Engineer

Job Summary
Our client, a leading Energy & Utilities provider, is seeking a Senior Data Analytics Engineer to lead the design and implementation of enterprise-scale dimensional data models within a modern analytics environment. This role focuses on data modeling best practices, star schema design, DBT development, and Snowflake optimization, while providing technical leadership to deliver scalable, high-performing analytical solutions.



Core Responsibilities

• Design, develop, and lead 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, 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
• Partner with Data Engineers, BI Developers, Product Owners, Architects, and business stakeholders to deliver scalable analytical solutions
• Mentor team members, conduct design reviews, and provide technical leadership across analytics engineering initiatives
• Drive data quality, performance, governance, documentation, and continuous improvement of the analytics platform

Required Skills/Experience (Must-Haves)

• Data modeling experience, focused on modeling best practices and star schema design rather than heavy engineering
• Expert-level hands-on experience with DBT development, testing, and deployment practices
• Expert-level experience with Snowflake architecture, performance tuning, and SQL optimization
• Proven experience designing and implementing enterprise-scale dimensional data models
• Deep understanding of data warehousing, analytical modeling, and modern analytics engineering principles
• Experience leading technical design decisions and influencing data architecture strategy
• Strong communication and stakeholder management skills with the ability to translate complex technical concepts into business value

Preferred Skills/Experience (Nice-to-Haves)

• DP-203, SnowPro, or equivalent cloud data certifications
• Azure Data Factory (ADF), Synapse, or Microsoft Fabric
• Python for data engineering, automation, and analytics
• Data Vault or advanced data modeling methodologies

Key Competencies & Behaviors

• Strong data modeling and analytical thinking capabilities
• Curious and continuous learner
• Self-motivated and highly independent
• Collaborative team player who enjoys knowledge sharing
• Strong attention to detail and commitment to data quality
• Ability to balance technical excellence with business objectives
• Comfortable working in evolving environments and organizational changes
• Solution-oriented mindset with strong troubleshooting abilities
• Passion for best practices in data modeling and analytics engineering

Work Environment

• Location: Spring, TX
• Work Model: Onsite

Compensation & Benefits

• Pay Range: The approximate pay range for this position is between $52.00 and $75.00. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.
• Medical, Dental, & Vision Insurance Plans
• Employee-Owned Profit Sharing (ESOP)
• 401K offered

About KellyMitchell
At KellyMitchell, our culture is world class. We're movers and shakers! We don't mind a bit of friendly competition, and we reward hard work with unlimited potential for growth. This is an exciting opportunity to join a company known for innovative solutions and unsurpassed customer service. We're passionate about helping companies solve their biggest IT staffing & project solutions challenges. As an employee-owned, women-led organization serving Fortune 500 companies nationwide, we deliver expert service at a moment's notice.



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