Staff Software Engineer, Enterprise Data Integration

Job Description

Job Description

Hi - We’re AppFolio. We’re innovators, changemakers, and collaborators. We’re more than just a software company – we’re pioneers in cloud and AI who deliver magical experiences that make our customers’ lives easier. We’re revolutionizing how people do business in the real estate industry, and we want your ideas, enthusiasm, and passion to help us keep innovating.

We're looking for a dynamic and experienced  Staff Software Engineer, Enterprise Data Integration , to play a key role in designing and delivering scalable, secure, and reliable integration solutions to support our continued growth. This is a high-impact role where you will be responsible for executing on architecture and engineering strategies, enabling future-ready data integration tools across the enterprise. As a Staff Software Engineer, you will be a senior technical contributor responsible for designing, developing, and optimizing enterprise data integration solutions. You will closely collaborate with the cross-functional team and technical leadership to execute target-state architectures while delivering solutions that are scalable, secure, and aligned with business priorities.

This role requires deep technical expertise in data integration tools and enterprise platforms (e.g., Informatica, MuleSoft, AWS, Salesforce, Zuora, NetSuite, etc.), a deep understanding of data integration architectures, and advanced integration engineering skills. You will be a technical leader within the Enterprise Systems Engineering team, mentoring and guiding engineers across the team.

Your Impact :

Design, build, configure, debug, monitor, and maintain reliable, scalable, and secure enterprise data integration solutions using modern cloud-based platforms like Informatica, Mulesoft, AWS, Snowflake, etc.. to integrate, cleanse, and move data across enterprise systems.

Leverage deep expertise in Informatica IDMC (Intelligent Data Management Cloud) to design and implement business solutions that enable efficiency and scalability for the business.

Collaborate with stakeholders, technical, and functional teams to influence and execute data integration strategies, standards, and guidelines to enable future scale and growth.

Utilize expertise in high-volume, complex data migration to drive future needs of the business, maintaining the highest standards of performance, quality, and efficiency.

Own and drive data movement and readiness strategies to enable AI adoption across the enterprise.

Leverage AI and emerging technologies to drive data quality and governance standards.

Develop high-quality data integrations across systems, such as external applications, AppFolio Product, Snowflake, Salesforce, Zuora Billing, Zuora RevPro, NetSuite, etc..

Act as a technical role model, mentoring mid-level engineers and elevating coding and design practices. Continuous improvement in performance, scalability, security, and reliability across data integration tools at AppFolio.

Model and encourage best practices in DevOps to enhance efficiency and automation.

Participate in ARB (Architecture Review Board) discussions, providing design and code review support.

Qualifications :

Bachelor's degree in Computer Science, Information Systems, or a related field; Master's degree preferred.

8+ years of experience in software engineering with a focus on enterprise data architecture and integrations within large-scale, high-growth SaaS organizations $1B+.

5+ years of deep experience with multiple multi-tenant SaaS cloud-based enterprise and data integration platforms like : Informatica IDMC, AB Initio, AWS Glue, Mulesoft, Salesforce, CData, Fivetran, etc, designing and implementing scalable, fault-tolerant data flows.

Extensive experience leading large-scale, high-volume data migrations — including data profiling, cleansing, validation, and reconciliation leveraging Informatica IDMC Data Quality or similar tools.

3+ years of experience as a Staff Software Engineer leading the discovery, design, and development of data Integration solutions using Informatica IDMC, with expert-level proficiency across the platform’s full suite (Cloud Data Integration, Application Integration, Data Quality, Mass Ingestion, etc).

3+ years of experience and expert-level knowledge in various software design patterns and architectures.

3+ years designing and implementing AWS-based data and application architectures using S3, Glue, Lambda, Step Functions, and EventBridge within large-scale enterprise systems.

Proven expertise in designing AI-ready data architectures, building semantic and governed data layers that enable enterprise-wide AI, analytics, and automation initiatives

Expert-level programming skills in Ruby, Java, Python, JavaScript, or equivalent.

Proven experience in SDLC and Agile methodology, driving the execution of complex software projects. Experience working in global teams, including offshore resources.

Excellent communication, interpersonal, and presentation skills. Strong analytical, problem-solving troubleshooting skills.

Demonstrated ability to build trust and credibility with business partners.

Preferred Qualifications :

SOLID concepts and hands-on experience with components of AI architecture (MCP, LLM, RAG, AI Agents, etc).

Certifications in relevant platforms, such as AWS Solutions Architect, Informatica Architect, etc..

Location

Find out more about our locations by visiting our site.

Compensation & Benefits

The compensation that we reasonably expect to pay for this role is : $167,200 - $209,000 base pay. The actual compensation for this role will be determined by a variety of factors, including but not limited to the candidate’s skills, education, experience, and internal equity.

Please note that compensation is just one aspect of a comprehensive Total Rewards package. The compensation range listed here does not include additional benefits or any discretionary bonuses you may be eligible for based on your role and / or employment type.

Regular full-time employees are eligible for benefits - see here.

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