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IonQ · 3 months ago

Senior Software Engineering Manager, Data Platform

Bothell, Washington, United States

Full-time

Onsite

Senior Level, Lead/Staff

$187K/yr - $245K/yr

13+ years exp

IonQ is developing the world's most powerful full-stack quantum computer based on trapped-ion technology. We are seeking an enthusiastic Senior Software Engineering Manager who is passionate about data engineering and machine learning to lead our Data Platform engineering team, responsible for building high quality, scalable, and resilient distributed systems that power our data pipelines.

ComputerElectronicsFinanceInformation ServicesInformation TechnologyMobile AppsQuantum ComputingSoftware

Growth Opportunities

No H1B

U.S. Citizen Only

Responsibilities

Own and develop the data platform roadmap by collaborating with your counterparts in product management, engineering, and sales

Guide your counterparts in identifying and instrumenting high-impact KPIs that can provide a solid foundation for data-driven decisionmaking across the business

Enable cross-functional data science and reporting, as well as ML pipelines

Build derived canonical datasets from the raw data to simplify and speed up analytical queries and make analytics accessible to less technical audiences

Establish and lead the team's standards, tooling, and processes, including design reviews, code reviews, and brainstorming sessions

Ensure reliability and efficiency of the data platform

Provide recommendations on cost-avoidance and optimization of cloud environments

Champion data governance structures that ensure adherence and adoption of data policies

Create impact at all levels of the organization as torch-bearer for data platform engineering principles

Drive consistency and documentation across our data stack

Serve as a player-coach for the team by contributing technically, architecturally, and programmatically

Qualification

Data engineeringMachine learningCloud environmentsDistributed systemsKubernetesDockerETL toolsBI toolingDatabase technologiesStakeholder managementAnalytical skillsPerformance tuningProject managementTeam leadership

Required

Bachelor's degree in Computer Science, Physics, Data Science, or related field, or equivalent practical experience

13+ years of professional experience or an equivalent combination of education and experience

Hands-on experience with public cloud environments (AWS, GCP) using Kubernetes, Docker, and IaC tools like Terraform

Hands-on experience in streaming (e.g. Kafka, Clickhouse), production data stores (e.g. Postgres, DynamoDB, Redis), or analytics systems (e.g. Snowflake, Iceberg) at scale

Broad knowledge of database technologies, including SQL and NoSQL (e.g. PostgreSQL, InfluxDB, MongoDB)

Experience with ETL and orchestration tools like Airflow

Experience with BI tooling like Tableau, Looker, or Superset

Previous experience at a hyper-growth startup, and ideally one with a mixed portfolio of hardware and software products

Strong stakeholder management skills with the ability to partner and align with external product, sales, and engineering teams

Sound project management, analytical skills and ability to establish metrics to measure and drive a high return on investment