Senior Analytics Engineer — End-to-End Data & AI Platform

D8 LooP; Santa Clara (CA); On-site; USD 120,000 - 170,000; Full time

Job summary

NVIDIA in the United States seeks a Senior Analytics Engineer to drive end-to-end analytics for finance, designing semantic layers and dashboards in Tableau and Power BI, and building data apps on the Databricks Lakehouse. The role requires strong SQL, data modeling, data pipeline optimization, and governance to ensure high-quality, trusted data across platforms such as Databricks and Snowflake.

Collaborate with data engineers, leverage dbt, Airflow, and Jira to deliver reliable solutions and

Qualifications

• Strong SQL skills and proficiency in data modeling concepts (star schema, dimensional modeling, semantic design).
• Collaborate with data engineering teams to optimize data pipelines, ensure data quality, and improve data availability.
• Incremental loads: traditional data warehouse architectures; historical, snapshot, and incremental data processing patterns.
• Establish and implement data governance, validation rules, and transformation logic to ensure data consistency across systems including Unity Catalog policies within Databricks.
• Senior Analytics Engineer with end-to-end analytics capabilities spanning data engineering fundamentals, semantic layer design, dashboard development in Tableau and Power BI, and application development within Databricks.
• Finance domain knowledge; build semantic layers to develop consistent, well-governed analytical data models; deploy data applications on Databricks Lakehouse.

Skills

SQL

Data modeling

Data pipelines

Data quality

Incremental processing

Databricks

Unity Catalog

Tableau

Power BI

Spark

Python

R

dbt

Fivetran

Informatica

Data Factory

Airflow

Jira

Snowflake

Tools

Databricks

Tableau

Power BI

Jira

dbt

Fivetran

Informatica

Data Factory

Alteryx

Snowflake

Unity Catalog

Airflow

Job description

NVIDIA in the United States seeks a Senior Analytics Engineer to drive end-to-end analytics for finance, designing semantic layers and dashboards in Tableau and Power BI, and building data apps on the Databricks Lakehouse. The role requires strong SQL, data modeling, data pipeline optimization, and governance to ensure high-quality, trusted data across platforms such as Databricks and Snowflake.

Collaborate with data engineers, leverage dbt, Airflow, and Jira to deliver reliable solutions and