Intuit
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 Intuits engineers and leaders to have access to all the operational data they need, when they need it, to understand how our products are performing in the real world. We track every step of the software development lifecycle, from code commits to customer adoption, and identify areas for improvement. We 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 Experience in engineering data pipelines and workflow orchestration tools; architecting end-to-end 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 across technical, business, and cross-functional teams Comfortable working in a fast-paced environment and flexible to shift priorities when needed Bachelors degree in Engineering, Data Science, Statistics, Mathematics, Computer Science, Economics or related quantitative field; Masters 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, ensuring 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, CI/CD, 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.
Employment details
Seniority level: Mid-Senior level Employment type: Full-time Job function: Information Technology Industries: Software Development
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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 Intuits engineers and leaders to have access to all the operational data they need, when they need it, to understand how our products are performing in the real world. We track every step of the software development lifecycle, from code commits to customer adoption, and identify areas for improvement. We 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 Experience in engineering data pipelines and workflow orchestration tools; architecting end-to-end 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 across technical, business, and cross-functional teams Comfortable working in a fast-paced environment and flexible to shift priorities when needed Bachelors degree in Engineering, Data Science, Statistics, Mathematics, Computer Science, Economics or related quantitative field; Masters 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, ensuring 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, CI/CD, 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.
Employment details
Seniority level: Mid-Senior level Employment type: Full-time Job function: Information Technology Industries: Software Development
#J-18808-Ljbffr