Senior Analytics Engineer
About The Position
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's A3I solutions are transforming the landscape of AI infrastructure." – IDC “The real differentiator is DDN. I never hesitate to recommend DDN. DDN is the de facto name for AI Storage in high performance environments” - Marc Hamilton, VP, Solutions Architecture & Engineering | NVIDIA 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.
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
Nice To Haves
- 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
Responsibilities
- 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
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
251-500 employees
