Senior Data Engineer

Overview

The Enterprise Analytics Center of Excellence (CoE) is building the next-generation analytics stack centered on Snowflake (AWS) and Sigma. We are looking for a Sr Data Engineer who will play a critical role in shaping and operating this modern architecture. This role is not just about maintaining pipelines. It’s about helping lead the way in adopting cutting-edge analytics practices, scaling governed data models, and exploring new trends in the industry.

Responsibilities

• Ingestion & Transformation 

• Design, build, and maintain scalable data pipelines in Snowflake OpenFlow and other Snowflake-native services. 

• Migrate existing Dataiku pipelines to Snowflake, reducing complexity and cost. 

• Continuously improve workflows for performance, reliability, and efficiency. 

• Semantic Modeling & Views 

• Create and maintain Snowflake semantic views that serve as the governed data layer for analytics. 

• Apply dimensional modeling best practices to ensure consistency and reusability across business domains. 

• Enable role-based semantic views for Finance, Operations, and other enterprise functions. 

• Governance & Security 

• Implement and maintain RBAC frameworks using Active Directory roles/groups. 

• Support metadata management and cataloging surfaced directly in Sigma. 

• Ensure pipelines and models comply with enterprise data governance standards. 

• Analytics Enablement 

• Deliver clean, governed data sets for Sigma dashboards, Ask Sigma (NLP), Write-Back, and embedded analytics. 

• Monitor and tune query performance to optimize cost and speed. 

• Provide technical depth to ensure analytics can scale securely and efficiently across the enterprise. 

• Innovation & Continuous Improvement 

• Stay on top of the latest trends in data engineering and analytics (semantic layers, LLM-powered BI, write-back, real-time pipelines, etc.). 

• Bring new ideas and emerging technologies to ALS for evaluation and potential adoption. 

• Automate testing, monitoring, and deployment processes to keep the stack modern and efficient. 

Qualifications

Education and Experience: 

 

Bachelor’s degree in computer science or related field, required.  Equivalent experience may be considered 

 

Skills and Abilities: 

 

• Snowflake expertise: SQL, OpenFlow, Tasks/Streams, performance tuning, semantic views. 

• Cloud experience: Strong hands-on with AWS (S3, IAM, Glue, Lambda a plus). 

• Data modeling: Dimensional modeling, facts/dimensions, semantic design. 

• ETL/ELT engineering: Proven ability to build and optimize large-scale pipelines. 

• Governance & Security: AD/LDAP integration, RBAC, cataloging. 

• Programming: SQL required; Python required 

• Curiosity and enthusiasm for cutting-edge analytics tools and approaches. 

 

Preferred Skills: 

• Experience migrating Power BI models/reports into Snowflake + Sigma. 

• Familiarity with Sigma features: Ask Sigma, Write-Back, Embedded Analytics. 

• Exposure to Dataiku (to support migration away from it). 

• Interest in AI/ML-powered analytics and NLP-based BI interfaces. 

 

Travel: 

• Up to 25% travel 

 

Standard and Physical Requirements:  

• Position involves sitting long periods, standing, manual dexterity, stooping, bending and minimal lifting  

  

Alliance Team Members Demonstrate DRIVE:   

• Dedicated: Follows through on commitments. Strong say/do.  

• Respectful: Acts with integrity and values diverse perspective.   

• Innovative: Always looking for a better way; leads change.  

• Versatile: Adapts quickly to changing circumstances. Demonstrates agility.  

 

 

EEO

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

ID

2025-10436

Pos. Type

Full-Time