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Overview

Join the **Operational Data Lake (ODL)** team that plays a crucial role in supporting Intuit's mission by providing a comprehensive view of how its applications are performing, enabling data-driven decisions to enhance customer experiences and improve operational efficiency.

Our charter is to enable Intuit’s engineers and leaders to have

+ Access all the operational data they need, when they need it, to understand how our products are performing in the real world.

+ Easily track every step of the software development lifecycle, from code commits to customer adoption, and identify areas for improvement.

+ Contribute to building a cutting-edge data platform that empowers data-driven decisions across the entire company.

What you'll bring

+ 8+ years of experience working with product analytics, web analytics or other similar data analytics domains

+ Advanced proficiency in SQL, “big data” technologies (e.g., Redshift, Spark, Hive, BigQuery), and BI tools (e.g., Tableau, Qlik, Dash)

+ Strong programming skills in Python or Java/Scala

+ Experienced in engineering data pipelines and workflow orchestration tools, Architecting E2E big data and analytical platforms

+ Understanding of AI-native architectures and GenAI platforms; able to assess implications for data, testing, and behavior

+ Strong business acumen and the ability to translate business strategy into testable hypotheses and learning agendas

+ Strong data storytelling skills, with a proven ability to rapidly construct impactful reports, communicate insights and influence leadership

+ Excellent communication and interpersonal skills, with a proven ability to build trust and collaborate seamlessly across technical, business, and cross-functional teams.

+ Comfortable working in a fast-paced environment and have flexibility to shift priorities when needed

+ Bachelor’s degree in Engineering, Data Science, Statistics, Mathematics, Computer Science, Economics or related quantitative field; Master’s Degree preferred

How you will lead

+ Architect, design, and build fault-tolerant, scalable big-data platforms that support high-velocity, high-volume data use cases.

+ Collaborate cross-functionally with Product Management, Engineering, and Central Data Lake teams to guarantee the platform aligns with current requirements and maintains extensibility for future functionalities.

+ Develop and oversee scalable architectures for data normalization, lineage, governance, ontology, and discoverability, guaranteeing efficient integration throughout diverse systems and potentially disparate business units.

+ Data and Artificial Intelligence Enablement: Collaborate with domain event producers and product teams to determine, curate, and administer datasets essential for sophisticated analytics, encompassing Generative AI and Machine Learning, and deriving actionable customer intelligence.

+ Execute code reviews, promote coding best practices, and establish processes for unit testing, continuous integration/continuous delivery, performance testing, capacity planning, documentation, monitoring, alerting, and incident response.

+ Demonstrate leadership and cultivate an environment of ongoing education, mentoring junior team members in technical proficiency and collaborative problem resolution.

EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.