Senior Manager, Data Engineering

As a Senior Engineering Manager in Data Engineering, you will lead a team of data engineers to build out our next generation Data Platform. With their support, you'll be responsible for large-scale solutions that integrate data across our ecosystem and it will be your creative thinking in system and service design that creates unique and seamless experiences for our internal customers and partners. Your expertise will help shape our future by influencing the overall strategy, driving system architecture and establishing best practices in software development.

Responsibilities

Foster a positive, supportive and inclusive work environment; Hire and develop a team of software and data engineers—providing coaching, mentoring, motivation, and technical guidance; Lead system architecture design that reduces complexity and enables extendibility and reusability; Continuously improve engineering practices—balancing speed, quality, and business impact; Build effective agile practices that deliver robust solutions on time and on budget; Lead execution of project plans, delivery commitments and risk mitigation; Help evaluate the feasibility of initiatives through quick prototyping with respect to performance, quality, time and cost; Build strong partnerships with cross-functional teams and contribute to deliver unique customer experiences

Requirements

A well established history of building efficient and scalable data platforms and driving their adoption across engineering, analytics, and ML teams; Experience managing a team of engineers; Expertise in building production grade, low latency, high performance services; Experience managing data platforms as a product; Experience with implementing end-to-end scalable solutions in the cloud; Excellent communication skills, both written and verbal; Experience communicating with technical and non-technical stakeholders across multiple business units; Experience with agile and other program management methodologies; You proactively identify upcoming risks, issues and bottlenecks within your team and across departmental boundaries; You thrive in a fast-paced, ambiguous, and high-stakes environment; You are a smart, curious, and analytical person with a bias for action; Background check required; Python; dbtLabs; SQL; GitHub Actions; Google Cloud Platform: BigTable, BigQuery, Pub/Sub, Dataflow, Dataproc, Airflow, Kubeflow; Terraform; Docker; MLOps Platform (VertexAI, MLFlow)

Benefits

Variable compensation including short term and long-term incentives; Medical, dental and vision plans; Life, long-term disability, flexible spending and health savings accounts; Accrued paid time off; Paid holidays; RRSP retirement benefits