About the role

Role overview

Senior Software Engineer (Data Platform) for a foundational data infrastructure team. You will design, develop, and optimize the company’s data platform while partnering with data scientists, analysts, and software engineers.

Key missions

Contribute to the design, development, and optimization of the company’s data infrastructure using GCP, Spark, Databricks, and Fivetran
Build robust, maintainable ETL/ELT workflows for structured and unstructured data
Define and apply data governance and compliance standards, including:
- Access control
- Auditability and traceability
- Metadata management
Implement Change Data Capture (CDC) pipelines and help scale core data infrastructure

Responsibilities (implied by missions)

Collaborate cross-functionally to deliver data solutions for analytics, experimentation, and compliance
Work with streaming ingestion and real-time delivery frameworks
Ensure security and compliance best practices within the data platform

Requirements

5+ years of software engineering experience, focused on scalable data architectures
Strong proficiency with ETL/ELT tooling and frameworks (e.g., dbt, Apache Airflow, Dataform)
Experience with data governance principles, including compliance and security
Familiarity with streaming data architecture, real-time ingestion, and delivery frameworks
Strong expertise in GCP (e.g., IAM, GCS, Pub/Sub) plus hands-on Spark and Databricks
Proficient in SQL and Python for data processing and automation
Strong problem-solving and ability to operate in a fast-paced environment
Hands-on CDC experience (e.g., Fivetran or equivalent)
Communication and technical storytelling skills; ability to align technical work with business value
Comfortable working remotely and staying productive with cross-team collaboration

Nice to have / differentiators

Familiarity with dbt Semantic Layer and modern data modeling best practices
Exposure to multi-cloud or hybrid-cloud environments
Experience building in a 0-1 environment
Experience with Terraform or other Infrastructure-as-Code (IaC)
Exposure to data observability platforms and practices
Background in HIPAA or other regulated environments
Familiarity with machine learning data pipelines

Contract / logistics

Full remote
Benefits mentioned: competitive salary, health insurance, 401k match, and flexibility to choose holidays

About Function

Function is a remote-first technology company building a scalable data platform and foundational data infrastructure. The role focuses on designing and operating data pipelines, ETL/ELT workflows, and data governance to support analytics, experimentation, and compliance use cases.

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