Staff Data Platform Engineer - AI-Ready & Scalable

Intuit; Caldwell (OH); On-site; USD 189,000 - 274,000; Full time

Job summary

Intuit is seeking a Senior Data Platform Architect to architect and build scalable data platforms, enabling data-driven decisions across products. You will collaborate with Product Management, Engineering, and Central Data Lake teams to ensure extensibility and alignment with evolving requirements.

The role emphasizes data normalization, governance, and the use of AI-native architectures to support analytics, GenAI, and ML initiatives while promoting best practices and mentorship within a

Qualifications

• 8+ years in product analytics or similar data analytics domains.
• Advanced proficiency in SQL and big data technologies.
• Strong programming skills in Python or Java/Scala.
• Experience with data pipelines and end-to-end big data platforms.
• Understanding of AI-native architectures and GenAI platforms.
• Excellent communication and cross-functional collaboration.

Responsibilities

• Architect, design, and build scalable big-data platforms.
• Collaborate with Product Management, Engineering, and Central Data Lake teams.
• Develop architectures for data normalization, lineage, governance, ontology, discoverability.
• Work on datasets for analytics including Generative AI and ML.
• Oversee CI/CD, testing, performance, capacity planning, documentation, monitoring.
• Mentor junior teammates and foster continuous learning.

Skills

SQL

Big Data

BI tools

Python/Java/Scala

Data pipelines

AI/GenAI

Business acumen

Data storytelling

Cross-functional collaboration

Communication

Education

Bachelor's degree in Engineering/CS/Math

Master's degree preferred

Tools

Redshift

Spark

Hive

BigQuery

Tableau

Qlik

Dash

Job description

Intuit is seeking a Senior Data Platform Architect to architect and build scalable data platforms, enabling data-driven decisions across products. You will collaborate with Product Management, Engineering, and Central Data Lake teams to ensure extensibility and alignment with evolving requirements.

The role emphasizes data normalization, governance, and the use of AI-native architectures to support analytics, GenAI, and ML initiatives while promoting best practices and mentorship within a