Are you looking to Optimize your life? Start your exciting path to a rewarding career today!We are the company, a leader in the fast-paced world of connectivity, and we're seeking driven and enthusiastic professionals to join our team, empower lives, fuel businesses, and drive innovation. Connectivity is no longer a luxury, but a necessity. A career at the company means you'll be enabling progress and enhancing lives by providing reliable, high-speed connectivity solutions that keep the world connected. Our successes, now and in the future, are powered by our amazing product, a commitment to our people and culture, and the connections we make in our communities.If you are resourceful, collaborative, and passionate about delivering consistent excellence, the company is for you!Job SummaryThe Data DevOps Lead is responsible for ensuring the reliability, scalability, and cost efficiency of the company’s data platform. This role drives automation, operational excellence, and standardized delivery across data pipelines, enabling a high-performing “data supply chain” that supports timely, trusted business decisions.ResponsibilitiesPlatform Reliability & Data OperationsOwn end-to-end operational stability of data pipelines, ingestion frameworks, and platform components.Lead External Support team to ensure automated Monitoring of failed jobs, piplelines and ensure resolution of data incidents, failures, and SLA breaches proactivelyAutomation & Operational EfficiencyDrive automation of BAU processes, reducing manual intervention across ingestion, transformation, and deliverySimplify fragmented tools and workflows into standardized, scalable patternsEnable repeatable, low-touch operations across data engineering teamsCost Optimization (FinOps for Data Platform)Monitor and optimize GCP infrastructure, compute, and storage costsIdentify inefficiencies across data pipelines and workloadsImplement cost control mechanisms, aligning platform usage with business valueCI/CD & Data Pipeline DeliveryDesign and implement CI/CD frameworks for:Data pipelinesTransformation layers (e.G., dbt models)ML/AI workflows where applicableEnsure version control, automated testing, and reliable deploymentsEnable faster,



consistent delivery with reduced production riskStandards & Best PracticesDefine and enforce data platform standards, frameworks, and reusable componentsEstablish consistent practices for pipeline design, deployment, and monitoringReduce variability across ingestion and processing patternsCross-Functional EnablementPartner with Data Engineering, Data Architecture, and Business/Data Operations teamsSupport delivery squads in achieving SLAs, reliability targets, and platform adoption goalsAct as a central enabler for data platform scalability and operational excellenceQualificationsEducationBachelor's degree in a quantitative field (Statistics, Economics, Data Science, Engineering) or related field of studyRequired Skills & ExperienceStrong experience in Data Engineering / DevOps / SRE within cloud environments (preferably GCP)Proven expertise in:Data pipeline orchestration (Airflow/Composer or equivalent)CI/CD tools and frameworksMonitoring and observability toolsDeep understanding of:Distributed data processing (Spark, BigQuery, etc.)Data platform architecture and ingestion frameworksExperience driving automation, cost optimization, and operational maturityLeadership & Behavioral ExpectationsStrong ownership mindset with focus on operational excellence and continuous improvementAbility to drive standardization across distributed teamsProactive in identifying risks, inefficiencies, and improvement opportunitiesCollaborative leadership across cross-functional data squadsSuccess MetricsReduction in pipeline failures and incident resolution timeImprovement in SLA adherence and data reliabilityReduction in platform costs through optimization initiativesIncrease in automation coverage and operational efficiencyStandardization and adoption of best practices across teamsAt the company, every action and interaction we take part in,



is driven by our three Guiding Principles: Do What’s Right, Drive One the company, and Make It Happen. These aren’t just words, they help us build trust, create real community, and embrace new ways of thinking. Our employees are empowered to do the right thing for our customers and co-workers and to recognize and reward these behaviors when we see them. It’s all part of the bigger picture of “Be The Difference” where each employee knows they have the power to enact real change, share new ideas, and understand that learning never stop.If you have the drive to succeed and are ready to embark on a thrilling career, seize this opportunity today, and join our winning team. Together, we'll shape the future of connectivity.All job descriptions and required skills, qualifications and responsibilities for a particular position are subject to modification by the Company from time to time, in the Company’s discretion based on business necessity.We are an Equal Opportunity Employer committed to recruiting, hiring and promoting qualified people of all backgrounds regardless of gender, race, color, creed, national origin, religion, age, marital status, pregnancy, physical or mental disability, sexual orientation, gender identity, military or veteran status, or any other basis protected by federal, state, or local law.The Company collects personal information about its applicants for employment that may include personal identifiers, qualified or employment related information, photos, education information and/or protected classifications under federal and state law. This information is collected for employment purposes, including identification, work authorization, FCRA-compliant background screening, human resource administration and compliance with federal, state and local law.Pay is competitive and based on a number of job-related factors, including skills and experience. The starting pay rate/range at time of hire for this position in the posted location is CAD 181,427.00 - CAD 298,060.00 / year. The rate/range provided herein is the anticipated pay at the time of hire and does not reflect future job opportunity.#J-18808-Ljbffr

📌 Director Data Dev Ops (Toronto)
🏢 United States Digital Space
📍 Toronto