Manager, Data Engineering

ABOUT THIS POSITION We are seeking a Technical Manager, Data Engineering, to lead and scale Waystar’s data engineering function while actively contributing to the delivery of our modern data platform. This role combines people leadership, technical ownership, and hands-on engineering to drive execution across our Big Query-based data platform.

You will be responsible for managing a team of data engineers, setting technical directions, and ensuring the successful delivery of scalable ingestion and transformation pipelines across a Medallion architecture (Bronze/Silver/Gold) on Google Cloud Platform (GCP). This leader will partner closely with platform leadership, governance, and business domains to establish a reliable, governed, and high-performing data ecosystem.

WHAT YOU'LL DOTeam Leadership & Delivery Ownership Lead, mentor, and scale a team of data engineers supporting multiple business domains

Drive delivery accountability, sprint execution, and engineering best practices

Establish development standards, code reviews, and performance expectations

Manage capacity, workload balance, and resource planning across initiatives

Partner with leadership to align engineering priorities with strategic goals

Technical Leadership & Architecture Define and enforce data engineering standards, patterns, and best practices

Provide hands-on technical leadership across Big Query, dbt, and ingestion frameworks

Guide architecture decisions for scalable, secure, and cost-efficient data pipelines

Lead design of domain-aligned, reusable data models and pipelines

Ensure alignment with governance, data classification, and access control frameworks

Pipeline Engineering & Delivery (Hands-On)
Design, build, and maintain ELT pipelines into Big Query using Fivetran and custom APIsOversee and contribute to development of bronze, silver, and gold layers

Support and review dbt models, transformations, and orchestration workflows

Implement orchestration using Cloud Composer (Managed Airflow)
Act as an escalation point for complex technical issues and delivery risks

Data Quality, Observability & Governance Enforce data quality, validation, and monitoring standards across pipelines

Implement logging, alerting, and observability frameworks

Ensure performance optimization for Big Query (partitioning, clustering, cost management)
Enforce security best practices including IAM roles, data access, and auditability

Drive adherence to data lineage, documentation, and governance requirements

Platform Engineering & Enablement Champion CI/CD practices using Git Hub and modern deployment pipelines

Drive Infrastructure-as-Code standards (Terraform) for platform consistency

Improve developer experience, onboarding, and engineering productivity

Collaborate with Data Governance and Data Champions to enable domain ownership

What You’ll Need8+ years of data engineering experience with enterprise-scale platforms2+ years of experience leading or managing data engineering teams

Strong hands-on expertise with GCP and Big Query Advanced  experience with dbt (required)

Experience with Fivetran and API-based ingestion frameworks

Strong Python skills including API integrations and automation

Proven experience building scalable ELT pipelines and data models

Experience with data quality, validation frameworks, and observability

Proficiency with Git Hub, CI/CD workflows, and code review practices

Strong understanding of data governance, lineage, and access controls

Experience working in regulated environments (e.g., healthcare) preferredWHAT YOU'LL NEED Experience leading teams through cloud data platform migrations (e.g., Snowflake Big Query)

Experience with Terraform (IaC) and platform automation

Familiarity with Harness CI/CD and Git Hub Actions

Experience with Snowflake and…