Base Salary
$262k - $354k/yr
Responsibilities
- Lead development and implementation of the Consumer Platform data strategy and target-state architecture across multiple architectural layers.
- Design and implement durable, scalable, secure, highly available, and high-performance data and software systems.
- Perform approximately 70% hands-on development across the software development lifecycle, including proofs of concept, pilots, implementation, and operationalization.
- Define technical strategies and standards for data modeling, ingestion, curation, quality, real-time analytics, governance, instrumentation, and experimentation.
- Drive enterprise data initiatives involving data quality monitoring, end-to-end testing, migration execution, infrastructure efficiency, cost optimization, and operational preparedness.
- Provide architecture leadership, technical decision visibility, code and architecture reviews, and guidance on long-term technology direction.
- Guide the use of AI and agentic experiences for customer problems and help reduce fragmentation across AI tooling.
- Influence product and technology strategy across multiple teams and partner with product development and other cross-functional groups.
- Mentor engineers, conduct paired programming and collaborative problem-solving, and contribute to engineering standards and best practices.
Requirements
- Bachelor's or master's degree in Computer Science, Data Engineering, or a related field.
- 15+ years of software engineering experience with a strong background in data engineering.
- 9+ years of professional experience with big data technologies including Hive, Hadoop, Kafka, columnar databases, and graph databases.
- Strong experience with stream processing or near-real-time data ingestion.
- Expertise developing software in Java with Spring and Spring Boot, Scala for Spark Streaming and Spark applications, or other JVM-based languages.
- Expert professional experience with SQL, XML, JSON, YAML, Python, and Linux.
- Strong understanding of extensible data modeling and large-scale data environments.
- Strong cloud-platform experience with AWS, Azure, or GCP, including resilient high-scale services and recovery mechanisms, with AWS expertise specifically noted.
- Expertise with Docker, Spark, Scala, Jupyter Notebook, Databricks Notebooks, Kubernetes, feature management platforms, and SageMaker.
- Experience adopting traditional AI and generative AI, including knowledge of AI/ML and growth-focused AI/ML applications.
- Expert knowledge of software development methodologies and practices, including Agile Development, Scrum, and/or Extreme Programming.
- Strong mentoring, communication, strategic thinking, and cross-functional influence skills.
Benefits
- Competitive compensation package with performance-based rewards.
- Potential eligibility for a cash bonus, equity rewards, and benefits under applicable company plans and programs.
- Position based in Oakland.
Tech Stack
Categories
About Intuit
Intuit is a global technology platform that helps our customers and communities overcome their most important financial challenges. Serving millions of customers worldwide with TurboTax, QuickBooks, Credit Karma and Mailchimp, we believe that everyone should have the opportunity to prosper and we work tirelessly to find new, innovative ways to deliver on this belief. We encourage conversations on this page and will not delete comments that follow our terms of use. In order to keep this a safe community, the below posts may be removed: Repeated posts of the same content, spam or posts from fake accounts or profiles, offensive language or material, threats to others in the community, posts deliberately aimed to have a negative effect on the community or conversations.