Lead Data Platform Engineer – Big Data & AI Enablement

Intuit; Sioux City (IA); On-site; USD 189,000 - 274,000; Full time

Job summary

Intuit’s Dev360 team is building a scalable data platform to enable engineers and leaders with a complete view of product performance. You’ll drive data normalization, governance, and discovery across diverse systems while enabling AI-driven analytics and actionable customer insights.

You will lead architecture for end-to-end data pipelines, collaborate with Product, Engineering and Central Data Lake teams, and mentor junior staff in a fast-paced environment.

Qualifications

• 5+ years of experience in product analytics, web analytics or similar data analytics domains.
• Advanced proficiency in SQL, big data technologies (Redshift, Spark, Hive, BigQuery) and BI tools (Tableau, Qlik, Dash).
• Strong programming skills in Python or Java/Scala.
• Experience engineering data pipelines and workflow orchestration tools; architecting end-to-end big data platforms.
• Understanding of AI-native architectures and GenAI platforms; assess data implications.

Responsibilities

• Architect, design, and build fault-tolerant, scalable big-data platforms for high-velocity data use cases.
• Collaborate cross-functionally with Product Management, Engineering, and Central Data Lake teams.
• Develop scalable architectures for data normalization, lineage, governance, ontology, and discoverability.
• Collaborate on data for analytics including Generative AI and Machine Learning datasets.
• Execute code reviews, promote best practices, and establish CI/CD, testing, and monitoring processes.
• Provide leadership and mentor junior team members in technical proficiency.

Skills

SQL

Big Data Tech

BI Tools

Python/Java

Data Pipelines

GenAI

Business Acumen

Data Storytelling

Communication

Education

Bachelor’s degree in Engineering, Data Science, Statistics, Mathematics, Computer Science or related field

Master’s Degree preferred

Tools

Airflow

Job description

Intuit’s Dev360 team is building a scalable data platform to enable engineers and leaders with a complete view of product performance. You’ll drive data normalization, governance, and discovery across diverse systems while enabling AI-driven analytics and actionable customer insights.

You will lead architecture for end-to-end data pipelines, collaborate with Product, Engineering and Central Data Lake teams, and mentor junior staff in a fast-paced environment.