**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. _Intuit provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for this position is:_ Bay Area California $186,500 - $252,000 Southern California $169,000 - $229,000 _This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at_ Intuit®: Careers | Benefits (https://www.intuit.com/careers/benefits/full-time-employees/) _).Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing pay equity for employees, Intuit conducts regular comparisons across categories of ethnicity and gender._ 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.