Sr. Analytics Engineer

13 Minutes ago • 5 Years +

Data Analysis

Job Description

We are seeking an experienced Senior Analytics Engineer to join our data team. This role involves designing, implementing, and maintaining data architecture and semantic layers, combining deep technical expertise in data modeling with strategic thinking. The ideal candidate will have extensive experience with modern data stack technologies and a proven track record of building scalable, AI-ready data architectures. Responsibilities include data architecture & modeling, technical implementation using Databricks and Python, documentation & governance, and strategic planning.

Good To Have:

Experience with both Databricks and Snowflake
Experience designing data architectures optimized for AI and machine learning workloads
Hands-on experience with semantic layer tools (AtScale, Cube, MetricFlow, LookML, Tableau Semantic Layer, or PowerBI Semantic Model)
Familiarity with additional tools in the modern data ecosystem (dbt, Fivetran, Looker)
Previous experience in relevant industry

Must Have:

Design and implement dimensional data models following Kimball methodology and best practices
Plan, create, and execute comprehensive data architecture strategies
Build and maintain robust semantic layers
Develop and maintain complex SQL queries, data pipelines, and data transformations using Databricks notebooks and workflows
Work extensively with Databricks platform to build scalable data solutions
Utilize Python for data processing, automation, and advanced analytics workflows
Create and maintain comprehensive documentation for data models, semantic layers, and architectural decisions
Establish and enforce data governance standards and best practices
Lead cross-functional projects to deliver data solutions that drive business value
9+ years of professional experience with 5+ years of experience in analytics engineering, data engineering, or related field
Proven track record of designing and implementing data architectures at scale
Strong understanding of data warehouse design patterns and best practices
Excellent written and verbal communication skills in English
Ability to work evening hours (IST) to ensure overlap with US-based teams

Add these skills to join the top 1% applicants for this job

team-management

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tableau

python

sql

machine-learning

Scope:

We are seeking an experienced Senior Analytics Engineer to join our data team and drive the design, implementation, and maintenance of our data architecture and semantic layers. This role combines deep technical expertise in data modeling with strategic thinking about how data can best serve our organization's analytical needs. The ideal candidate will have extensive experience with modern data stack technologies and a proven track record of building scalable, AI-ready data architectures.

Our Current Technical Environment:

Data Architecture: Deep knowledge of dimensional modeling principles and Kimball methodology
SQL: Expert-level SQL skills with ability to write complex queries and optimize performance
Cloud Platforms: Extensive experience with Databricks or Snowflake (experience with both preferred)
Semantic Layers: Strong understanding of semantic layer concepts and architectures; hands-on experience highly preferred
Documentation: Proven ability and willingness to create and maintain technical documentation

What you’ll do:

Data Architecture & Modeling
Design and implement dimensional data models following Kimball methodology and best practices
Plan, create, and execute comprehensive data architecture strategies that support both current and future analytical needs
Build and maintain robust semantic layers that enable self-service, BI and analytics, and AI across the organization
Ensure data architectures are optimized for AI and machine learning applications
Technical Implementation:
Develop and maintain complex SQL queries, data pipelines, and data transformations using Databricks notebooks and workflows
Work extensively with Databricks platform to build scalable data solutions, including Delta Lake, Unity Catalog, and Databricks SQL
Utilize Python for data processing, automation, and advanced analytics workflows within Databricks environments
Implement data quality checks and monitoring systems using Databricks pipelines
Documentation & Governance:
Create and maintain comprehensive documentation for data models, semantic layers, and architectural decisions
Establish and enforce data governance standards and best practices
Work directly with business stakeholders and BI developers to design data architectures that meet analytical and reporting needs
Collaborate cross-functionally to ensure data architecture aligns with business requirements and technical constraints
Strategic Planning & Execution:
Lead cross-functional projects to deliver data solutions that drive business value
Mentor junior team members and contribute to the growth of the data engineering practice
Stay current with emerging technologies and industry best practices in data architecture

What we are looking for:

Experienced 9+ years of professional with 5+ years of experience in analytics engineering, data engineering, or related field
Proven track record of designing and implementing data architectures at scale
Experience planning and executing complex data projects from conception to delivery
Strong understanding of data warehouse design patterns and best practices
Programming: Python experience for data processing and automation
AI/ML Architecture: Experience designing data architectures optimized for AI and machine learning workloads (significant advantage)
Semantic Layer Tools: Hands-on experience with semantic layer tools (huge advantage) - priority on AtScale, but experience with any semantic layer tool such as Cube, MetricFlow, LookML, Tableau Semantic Layer, or PowerBI Semantic Model highly valued
Modern Data Stack: Familiarity with additional tools in the modern data ecosystem (dbt, Fivetran, Looker, etc.)
Industry Experience: Previous experience in [relevant industry if applicable]
Location: India-based role with ability to work evening hours (IST) to ensure overlap with US-based teams
Communication: Excellent written and verbal communication skills in English - ability to clearly articulate technical concepts to both technical and business stakeholders
Collaboration: Experience working effectively in distributed, cross-timezone teams

Our Values

If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success – and the success of our customers. Does your heart beat like ours? Find out here: Core Values

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

About Us

Who are we?

We are a proven, passionate bunch of disruptors. Our work is all about tapping into your potential so we can deliver the best solutions and customer experiences on the planet. Collaboration, respect, and a great work-life balance earned us the title of "Best Place to Work- Employees' Choice" by Glassdoor. Our people are smart, creative, rock stars with over 400 patents and 10,000 people years of domain expertise.

What do we do?

Blue Yonder is the world leader in digital supply chain and omni-channel commerce fulfillment. Our intelligent, end-to-end platform enables retailers, manufacturers and logistics providers to seamlessly predict, pivot and fulfill customer demand. With Blue Yonder, you can make more automated, profitable business decisions that deliver greater growth and re-imagined customer experiences. Blue Yonder - Fulfill your Potential. ™ blueyonder.com

“Blue Yonder” is a trademark or registered trademark of Blue Yonder, Inc. Any trade, product or service name referenced in this document using the name “Blue Yonder” is a trademark and/or property of Blue Yonder, Inc.

Blue Yonder, Inc.

15059 N Scottsdale Rd, Ste 400

Scottsdale, AZ 85254