Data Reliability Engineer Sr

Location: Work is what you do, not where you go. For this role, we are open to remote work and can hire anywhere in the United States or Canada

About The Opportunity

As part of the Data Reliability Engineering (DRE) team, you will be responsible for ensuring that all Dayforce data pipelines, storage, and retrieval systems are reliable, accurate, robust, timely and scalable. You will support data teams to make their data products observable, to automate their processes, to monitor their applications and pipelines and to support data incidents when they occur.

Data Reliability Engineering act as trusted advisors for the company, actively participating in data platform infrastructure design and scalability considerations.

To be successful a DRE will require a cross functional skill set and an in-depth understanding of the Dayforce system. DRE will be required to work senior leadership within Dayforce and a combination of machine learning engineers, data engineers, and site reliability engineers. A full mental model of how Dayforce functions will in turn allow you to work in situations where not all parameters are defined, and where you will be required to "blaze new trails". That is, create solutions where none existed. You will need to lead others from varied teams and technical backgrounds to find the required results as a group.

What you'll get to do

Engineering solutions to improve the reliability of data and data processesData lifecycle procedures (e.g., when and how data gets deprecated)Data SLI, SLA, SLO definition and documentationData observability strategy and implementationData pipeline code review, and testing frameworkData outage triage and response processData ownership strategy and documentationEducation and culture-building (e.g., internal roadshow to explain data SLAs)Developing guardrails around data processesAutomating data related processes in the infrastructure to constantly remove toilMonitoring costs of data activities (pipelines, storage, compute, network, etc.)Track the lineage of the dataPerform change management when data tooling changesEnsure cross-team communication regarding data activitiesEnsure PII (Personal Identifiable Information) is properly handled in the data ecosystemEnsure the business is compliant with all regulations regarding data (i.e., GDPR, etc.)Ensure that the Machine Learning models are versioned, reproducible, evaluated, monitored, and comply with overall software engineering best practices

Skills And Experience We Value

7+ years relevant experience creating, reviewing, debugging, costing, and maintaining data pipelines in both public and private cloudsFluent writing and reviewing code in at least one of those languages: Java, Scala, or C#Experience in scripting languages (bash, Python) for automating processes. Experience with pipeline orchestration tools, such as Airflow or DagsterExperience with Infrastructure-as-code technologies such as Kubernetes, Terraform, DockerExperience with data streaming technologies such as Kafka, FlinkExperience of BI, Data Warehousing and Data LakeGood experience with monitoring & observability tools, such as AppDynamics, Datadog, Honeycomb with proven ability to troubleshoot and problem solve in complex systems Experience with Machine Learning lifecycle from modeling to productionDemonstrated ability to quickly adapt, learn new skill sets, and be able to understand operational challengesStrong analytical, problem-solving, negotiation and organizational skills with a clear focus under pressureResourceful, results orientated with the ability to get things done and overcome obstaclesExcellent interpersonal skills, including relationship building with diverse, global, cross-functional teamExcellent written and verbal communication in EnglishHighly motivated and energetic personality capable of influencing positive change and growth.Ability to obtain or currently possess Canadian Protected B security clearance (resident in Canada 5 years or longer, clean record)Azure Administrator and Architect certifications a plus