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 worlds most demanding AI data centers in industries ranging from life sciences and healthcare to financial services autonomous cars Government academia research and manufacturing.

DDNs 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.

Were looking for a Senior Analytics Engineer to own the transformation and modeling layer of DDNs enterprise data platform. Youll 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. Youll work closely with data engineers who manage ingestion and infrastructure and with analysts and business partners who consume what you build.

What Youll Own

• 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 theyre 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

Your Experience Includes

• 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
• Bachelors degree in a quantitative field or equivalent practical experience

Nice to Have

• 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: $105400.00 - $195700.00

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.