Senior Analytics Engineer

This is an incredible opportunity to be part of a company that has been at the forefront of AI and high-performance data storage innovation for over two decades. DataDirect Networks (DDN) is a global market leader renowned for powering many of the world's most demanding AI data centers, in industries ranging from life sciences and healthcare to financial services, autonomous cars, Government, academia, research and manufacturing.

DDN is the global leader in AI and multi-cloud data management at scale. Our cutting-edge data intelligence platform is designed to accelerate AI workloads, enabling organizations to extract maximum value from their data. With a proven track record of performance, reliability, and scalability, DDN empowers businesses to tackle the most challenging AI and data-intensive workloads with confidence. 

Our success is driven by our unwavering commitment to innovation, customer-centricity, and a team of passionate professionals who bring their expertise and dedication to every project. This is a chance to make a significant impact at a company that is shaping the future of AI and data management. 

Our commitment to innovation, customer success, and market leadership makes this an exciting and rewarding role for a driven professional looking to make a lasting impact in the world of AI and data storage. 

We’re looking for a Senior Analytics Engineer to own the transformation and modeling layer of DDN’s enterprise data platform. You’ll turn raw data from Salesforce, Workday, product systems, and other sources into trusted, well-documented datasets that stakeholders across Sales, Finance, Product, and Operations actually use to make decisions. You’ll work closely with data engineers who manage ingestion and infrastructure, and with analysts and business partners who consume what you build.

• Data modeling — design, build, and maintain dbt models that transform raw data into clean, reliable datasets for analytics and reporting
• Data quality — implement and maintain testing, monitoring, and documentation so stakeholders can trust what they’re looking at
• BI & semantic layer — build and maintain Sigma data models and workbooks that give business users self-serve access to data
• Collaboration — partner with business stakeholders to understand their analytical needs and translate them into scalable, maintainable data models; work with data engineers on source data requirements

• 5+ years in analytics engineering, data engineering, or a similar data-focused role
• Expert-level SQL including experience with complex joins, window functions, CTEs, and performance tuning
• Strong experience with dbt for building and maintaining transformation pipelines
• Hands-on experience with a cloud data warehouse (BigQuery, Snowflake, Redshift, or similar)
• Understanding of dimensional modeling and data warehouse design patterns
• Experience building and maintaining BI content (dashboards, data models, semantic layers) in tools like Sigma, Looker, or similar
• Strong Python skills for data analysis, automation, or pipeline work
• Solid understanding of data quality practices including testing, monitoring, documentation
• Strong communication skills and demonstrated ability to translate technical concepts for business stakeholders
• Bachelor’s degree in a quantitative field or equivalent practical experience

• Experience with Sigma Computing specifically
• Familiarity with data quality frameworks (e.g., Elementary, Great Expectations)
• Familiarity with data governance practices — PII handling, access controls, documentation standards
• Experience with version-controlled, CI/CD-driven analytics workflows
• Prior experience in a small data team where you wore multiple hats

Salary Range for this role: $105,400.00 - $195,700.00

DDN has a very strong orientation towards these 4 characteristics and any successful employee will demonstrate these capabilities: 

Self-Starter - Takes independent action to identify and solve problems. Seeks out relevant information needed to make decisions. Gets involved with new initiatives. 

Success/Achievement Orientation - Delivers quality results consistently. Targets, achieves (or exceeds) measurable results. Sets challenging goals, focuses on critical priorities, and is accountable. 

Problem Solving - Recognizes problems and responds with a systematic assessment that identifies and addresses cause of issue. Practical, realistic, and resourceful. 

Innovative - Builds and improves key business processes that enhance the effectiveness of DDN. Generates new ideas, challenges the status quo, and solves problems creatively.

DataDirect Networks, Inc. is an Equal Opportunity/Affirmative Action employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, gender expression, transgender, sex stereotyping, sexual orientation, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law.