Data Platform Engineer — DataOps & Security Focus

AppFolio Inc; California; Presencial; USD 152.000 - 190.000; Jornada completa

Descripción de la vacante

AppFolio is seeking a Data Engineer to own the operational backbone of its Business Data Platform, driving secure, scalable data delivery and governance across analytics and AI initiatives.

You will lead observability, CI/CD for Git repositories, and access governance while partnering with InfoSec, Compliance, and data teams to ensure auditability, masking, and least-privilege access across Snowflake and tools.

Formación

• 8+ years in DataOps, Data Platform Engineering, DevOps, or related roles within modern cloud data environments.
• Proficiency in data engineering tools and technologies - SQL, Python, Airflow, Mulesoft, Linux scripting, and dbt
• Strong Experience with cloud technology, especially AWS tech stack (s3, ec2, eks), Docker and Kubernetes
• Experience with cloud data warehouse technology, such as Snowflake, including data security and governance
• Advanced proficiency with Airflow
• Strong knowledge of CI/CD pipelines, GitOps workflows, codespaces, and infrastructure-as-code (Terraform etc.).
• Experience with building self-serve processes
• Familiarity with security standards and practices for data (IAM, encryption, audit logging).
• Familiar with Snowflake RBAC, object privileges, masking policies, row-access policies, and secure UDFs/SPROCs to support both data engineering and ML/AI workloads.

Responsabilidades

• Own the design, build, and maintenance of AppFolio's Business Data Platform's observability and testing solutions that identify reliability, scalability, or data quality issues and strive to continuously improve the platform.
• Own the CI/CD architecture for our Github repositories — build the automated checks, deployment pipelines, and orchestration that every team's changes run through, and keep that platform running as new teams and use cases plug into it.
• Manage service accounts, roles, and permissions across Snowflake, dbt, and BI tools.
• Own the creation of and performance of Data Pipeline SLOs.
• Create and enforce data access controls, masking policies, and encryption standards (at rest and in transit).
• Define and own access governance for AI-driven data consumption — scoping Snowflake Coco, MCP server, and agent tool access (e.g., Chat-to-Data) with least-privilege, read-by-default, and full audit logging as agents take on more direct data access.
• Partner with InfoSec and Compliance to ensure auditability and privacy frameworks are implemented and upheld across the Business Data Platform.
• Maintain lineage and metadata documentation across key data domains.
• Implement and manage infrastructure-as-code for data platform components.
• Drive automation of routine operations (e.g., environment provisioning, credential rotation, usage monitoring).
• Partner with data engineers, data science engineers, data scientists, and analysts to improve platform usability and self-service capabilities.
• Document and evangelize best practices for data access, job orchestration, and environment management.

Conocimientos

SQL

Python

Airflow

Mulesoft

Linux scripting

dbt

AWS

Docker

Kubernetes

Snowflake

RBAC

Herramientas

Snowflake

dbt

GitOps

Terraform

Descripción del empleo

AppFolio is seeking a Data Engineer to own the operational backbone of its Business Data Platform, driving secure, scalable data delivery and governance across analytics and AI initiatives.

You will lead observability, CI/CD for Git repositories, and access governance while partnering with InfoSec, Compliance, and data teams to ensure auditability, masking, and least-privilege access across Snowflake and tools.