Data Engineer

DDN Storage is seeking great candidates to join our dynamic team of passionate customer-enabling technologists!

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. DDN Storage 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 Storage 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 Storage 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.

DDN Storage is looking for a talented Data Engineer to join our dynamic team. This role is focused on building and maintaining data infrastructure for our Go-To-Market (GTM) teams, ensuring seamless data integration across systems to enable data-driven decisions that enhance sales, marketing, and customer success initiatives. This is an incredible opportunity to be part of a company at the forefront of AI and high-performance data storage innovation, supporting industries ranging from life sciences to financial services.

Role Summary:

As the Data Engineer, you will be responsible for designing, implementing, and managing scalable data pipelines that deliver clean and actionable data to our GTM teams. You'll work closely with sales, marketing, finance, and customer success teams to ensure accurate data reporting, optimized workflows, and insightful analytics. The ideal candidate has a blend of data engineering expertise, deep knowledge of GTM systems like Salesforce and HubSpot, and strong collaboration skills.

Key Responsibilities:

• Data Infrastructure Development: Build and maintain the data architecture for GTM teams, integrating data from multiple sources (e.g., Salesforce, HubSpot, Google Analytics) into a central data warehouse or lake.
• ETL Pipelines: Develop efficient ETL (Extract, Transform, Load) processes to ensure data accuracy and availability for sales and marketing automation systems.
• Data Integration: Collaborate with GTM systems (CRM, marketing automation) to ensure data consistency and reliability across platforms.
• Business Intelligence: Partner with the RevOps and GTM teams to create reporting dashboards that track performance metrics, KPIs, and data insights for strategic decision-making.
• Automation & Optimization: Automate data workflows to improve efficiency and optimize systems for real-time data delivery to stakeholders.
• Collaboration: Work with sales operations, marketing, and customer success teams to provide data solutions that align with GTM strategies.
• Data Quality & Governance: Ensure the accuracy, completeness, and security of data used by GTM teams, implementing data governance best practices.
• Data Analysis & Reporting: Deliver insights through data analysis to support forecasting, revenue tracking, and marketing performance.
• LLM’s and AI: Exposure and interest in helping to training and fine tune LLMs for use by customer facing teams.

Required Skills & Qualifications:

• Experience: 5+ years of experience as a Data Engineer, with specific experience supporting Go-To-Market (GTM) or revenue teams.
• Technical Skills: Proficiency in SQL, Python, or other programming languages used in data processing. Experience with data warehousing tools like Snowflake or Redshift, and ETL tools such as Talend, Matillion, or Fivetran.
• GTM Systems Knowledge: Hands-on experience with CRM and marketing automation tools like Salesforce, HubSpot, and Pardot, and a strong understanding of their data structures.
• Cloud & Data Storage: Experience with cloud platforms (AWS, GCP, Azure) and understanding of cloud-based data storage solutions.
• Business Intelligence Tools: Experience with data visualization and reporting tools like Tableau, Power BI, or Looker.
• Collaboration: Strong interpersonal skills with the ability to collaborate across departments, particularly with sales, marketing, and finance teams.
• Problem-Solving: Ability to troubleshoot data pipeline issues and develop innovative solutions to optimize GTM data operations.
• Detail-Oriented: Strong focus on data accuracy and integrity, with a passion for clean and organized data.

Desired Skills:

• Experience with API integrations to pull data from third-party systems.
• Understanding of GTM analytics metrics such as pipeline velocity, ARR, customer acquisition cost (CAC), and customer lifetime value (CLTV).
• Knowledge of predictive analytics, AI/ML techniques, and their application in sales and marketing data.

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.

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