Data Acquisition Platform Manager
Intuit
Job Overview
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Job Description
Overview
The Data Acquisition Platform Manager will lead a critical platform within Intuit Data Exchange (IDX), responsible for acquiring, ingesting, and normalizing data from thousands of external sources at scale. This role owns the strategy, execution, and operational excellence of systems that power secure, reliable, and compliant data flows across Intuit products.
You will lead a team of engineers and work closely with Product, Architecture, Security, Compliance, and Partner teams to ensure the platform meets the needs of the business while maintaining high standards of reliability, performance, and data stewardship.
Responsibilities
Platform & Technical Leadership
- Own the end-to-end data acquisition platform, including connectors, ingestion pipelines, transformation, and validation layers.
- Drive platform scalability, reliability, and performance to support millions of users and high-volume data flows.
- Partner with architects and senior engineers to define technical direction, standards, and long-term platform roadmap.
- Ensure best practices in system design, observability, incident management, and operational readiness.
People Management
- Lead, coach, and develop a team of engineers, fostering a culture of ownership, learning, and technical excellence.
- Set clear goals, provide regular feedback, and support career growth aligned with Intuit’s values.
- Build and scale high-performing teams through hiring, onboarding, and talent development.
Cross-Functional Collaboration
- Partner with Product Management to translate business and customer needs into platform capabilities and priorities.
- Collaborate with Security, Privacy, Risk, and Compliance teams to ensure data acquisition meets regulatory and internal requirements.
- Work closely with partner-facing and ecosystem teams to support onboarding and ongoing integration of external data providers.
Execution & Delivery
- Own delivery commitments for platform initiatives, balancing feature development, tech debt reduction, and operational work.
- Drive continuous improvement in development velocity, quality, and reliability.
- Lead incident response and postmortems, ensuring learnings are applied to prevent recurrence.
Qualifications
Required
- 10+ years of software engineering experience, with 5+ years in an engineering management role.
- Strong background in distributed systems, data platforms, or large-scale integrations.
- Experience leading teams that build and operate high-availability, high-throughput services.
- Solid understanding of APIs, data ingestion patterns, event-driven systems, and cloud-native architectures.
- Proven ability to collaborate across product, architecture, and operational partners.
Preferred
- Experience with data aggregation, data exchange, or fintech platforms.
- Familiarity with security, privacy, and compliance considerations in data-intensive systems.
- Experience operating platforms with external partners or third-party integrations.
- Background working in highly regulated environments.
Key skills/competency
- Data Acquisition
- Platform Management
- Distributed Systems
- Engineering Leadership
- Scalability & Reliability
- API Integration
- Cloud Architecture
- Data Governance
- Fintech Data
- Cross-functional Collaboration
How to Get Hired at Intuit
- Research Intuit's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor to align your application.
- Tailor your resume for data platforms: Highlight experience in distributed systems, large-scale data ingestion, API integrations, and engineering leadership.
- Showcase technical expertise: Prepare to discuss complex data architecture, scalability challenges, and your approach to operational excellence in interviews.
- Emphasize leadership and collaboration: Provide examples of leading engineering teams, driving cross-functional projects, and fostering team growth.
- Demonstrate problem-solving: Be ready to articulate how you've solved challenging data acquisition, reliability, or compliance problems at scale.
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