Senior Software Data Engineer
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Job Location:
Monthly Salary:
Posted on:
3 hours ago
Vacancies:
1 Vacancy
Job Summary
Job Summary
NetApps Cloud Storage Business Unit is seeking a highly skilled Software Data this senior role you will own complex business problems end-to-end: define what needs to be solved design the approach and deliver scalable solutions. You will shape the analytics and data platform strategy for key
Cloud Storage outcomes set technical direction and build AI/ML-powered capabilities that drive impact across products and functions. This includes architecting durable data foundations (Snowflake dbt) elevating data quality standards and transforming signals from customer lifecycle product telemetry GTM and finance into actionable insights and measurable business results.
Job Requirements
Business & Outcomes
- Develop a deep understanding of Cloud Storage metrics processes funnels and customer lifecycles; articulate the why behind changes in ARR adoption expansion/NRR support cost and efficiency.
- Define problem statements and OKRs/KPIs; align roadmaps with BU priorities and partner teams (Product Engineering Cloud Ops Sales Finance).
Data Engineering at Scale
- Design and lead implementation of error-free ELT/ETL pipelines into the data lake/warehouse (e.g. Snowflake dbt) starting with PoCs that prove business value prior to scale-out; productionize with orchestration (Airflow/Prefect) and CI/CD.
- Establish gold-standard data models and contracts for product telemetry billing and GTM datasets; enforce versioned schemas SLAs/SLOs lineage and observability.
Insight Generation & Decision Support
- Analyze large complex datasets to diagnose root causes opportunities and risk; deliver prescriptive recommendations to PMs and business leaders not just descriptive dashboards.
- Build and maintain executive-grade dashboards and self-serve semantic layers (Tableau/Power BI) with clear narrative storytelling.
AI/ML Innovation
- Leverage modern AI/ML (forecasting uplift modeling causal inference anomaly detection LLM-assisted analytics) to automate insights and power new capabilities e.g. churn/expansion prediction price-performance guidance intelligent cost/efficiency recommendations.
- Partner with MLEs to productionize models with feature stores monitoring governance and responsible-AI practices.
Data Quality Governance & Security
- Design and enforce robust data quality checks (tests expectations anomaly rules) and steward data governance (access PII handling auditability) across different data pipelines.
Technical Leadership & Influence
- Serve as tech lead for cross-functional analytics initiatives; mentor IC3IC4 engineers and establish standards for modeling testing documentation and review.
Education
Bachelors degree in computer science mathematics statistics or related field.
8 years in data engineering/analytics with demonstrable impact on product or business outcomes.
Expert SQL and Python; strong command of Snowflake and dbt for ELT modeling; experience building production-grade pipelines and data contracts.
Proven track record delivering dashboards/visualizations (Tableau/Power BI) that drive action.
Hands-on with orchestration CI/CD for data and data testing/observability.
Ability to translate technical concepts for non-technical audiences and influence senior stakeholders across time zones.
Excellent communication and collaboration skills with the ability to work effectively with stakeholders at all levels.
Detail-oriented with a focus on data accuracy and quality.
Expertise with statistical modeling techniques.
Required Experience:
Senior IC
Key Skills
- Spring
- .NET
- C/C++
- Go
- React
- OOP
- C#
- AWS
- Data Structures
- Software Development
- Java
- Distributed Systems
About Company
At NetApp, our top priority is the health and safety of our event attendees and employees, including every community around the world being impacted by COVID-19. As a result, we have decided to reimagine our annual NetApp INSIGHT Paris and Berlin events to be fully digital. We’re als ... View more
