Senior Data Platform Engineer — Big Data & AI

Intuit; Fort Wayne (IN); On-site; USD 180,000 - 275,000; Full time

Job summary

Intuit’s Dev360 team is seeking a senior data platform engineer to architect and scale large-scale data platforms that support high-velocity analytics for product insights. You will collaborate with Product Management, Engineering, and Central Data Lake teams to ensure extensibility and alignment with evolving requirements.

You will design data normalization, lineage, governance, and discoverability frameworks while enabling AI-native analytics, Generative AI, and ML-driven insights across the

Qualifications

• 8+ years of experience in product analytics or data analytics domains.
• Proficient in SQL and big data technologies; strong BI tooling experience.
• Strong programming skills in Python or Java/Scala; data pipelines experience.
• Experience in engineering end-to-end data platforms, governance, and lineage.
• Familiar with GenAI platforms and AI-native architectures; ability to translate insights into actions.

Responsibilities

• Architect and build scalable big-data platforms for high-velocity data use cases.
• Collaborate with Product, Engineering, and Central Data Lake teams for alignment.
• Develop architectures for data normalization, governance, and discoverability.
• Collaborate on datasets for analytics, Generative AI, and ML initiatives.
• Lead code reviews, promote best practices, and establish CI/CD and testing processes.
• Mentor junior team members and foster a culture of learning.

Skills

SQL

Big data

Python/Java

Data pipelines

GenAI platforms

BI tools

Communication

Business acumen

Education

Bachelor's degree

Master's preferred

Tools

Redshift

Spark

Hive

BigQuery

Tableau

Qlik

Dash

Job description

Intuit’s Dev360 team is seeking a senior data platform engineer to architect and scale large-scale data platforms that support high-velocity analytics for product insights. You will collaborate with Product Management, Engineering, and Central Data Lake teams to ensure extensibility and alignment with evolving requirements.

You will design data normalization, lineage, governance, and discoverability frameworks while enabling AI-native analytics, Generative AI, and ML-driven insights across the