Director Data Dev Ops

United States Digital Space LLC; Toronto; On-site; CAD 181,000 - 298,000; Full time

Job summary

United States Digital Space LLC in Toronto, Canada, seeks a Data DevOps Lead to ensure the reliability, scalability, and cost efficiency of our data platform. You will drive automation, standardize delivery across data pipelines, and enable a high-performing data supply chain that informs timely, trusted business decisions.

You will own end-to-end platform reliability, lead cross-functional teams, implement CI/CD for data pipelines and dbt models, monitor costs on GCP, and champion best

Qualifications

• Bachelor's degree in a quantitative field (Statistics, Economics, Data Science, Engineering) or related field of study.
• Strong experience in Data Engineering / DevOps / SRE within cloud environments (preferably GCP).
• Proven expertise in data pipeline orchestration (Airflow/Composer or equivalent).
• Proficiency with CI/CD tools and frameworks; monitoring/observability tools.
• Deep understanding of distributed data processing (Spark, BigQuery, etc.).
• Experience driving automation, cost optimization, and operational maturity.

Responsibilities

• Own end-to-end operational stability of data pipelines, ingestion frameworks, and platform components.
• Lead External Support team to monitor failed jobs, pipelines and resolve data incidents and SLA breaches.
• Drive automation of BAU processes across ingestion, transformation, and delivery.
• Simplify tools and workflows into standardized, scalable patterns.
• Monitor and optimize GCP infrastructure, compute, and storage costs.
• Design and implement CI/CD frameworks for data pipelines, transformations, and ML/AI workflows.
• Define and enforce data platform standards, reusable components, and best practices.
• Partner with Data Engineering, Data Architecture, and Business/Data Operations teams to meet SLAs and improve platform adoption.

Skills

Data Engineering

DevOps

SRE

Airflow

CI/CD

Monitoring

BigQuery

Spark

Education

Bachelor's degree in a quantitative field

Tools

Airflow/Composer

GCP

CI/CD pipelines

Job description

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 Summary

The 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.

Responsibilities

Platform Reliability \& Data Operations

• Own 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 proactively

Automation & Operational Efficiency

• Drive automation of BAU processes, reducing manual intervention across ingestion, transformation, and delivery
• Simplify fragmented tools and workflows into standardized, scalable patterns
• Enable repeatable, low-touch operations across data engineering teams

Cost Optimization (FinOps for Data Platform)

• Monitor and optimize GCP infrastructure, compute, and storage costs
• Identify inefficiencies across data pipelines and workloads
• Implement cost control mechanisms, aligning platform usage with business value

CI/CD & Data Pipeline Delivery

• Design and implement CI/CD frameworks for:
• Data pipelines
• Transformation layers (e.g., dbt models)
• ML/AI workflows where applicable
• Ensure version control, automated testing, and reliable deployments
• Enable faster, consistent delivery with reduced production risk

Standards & Best Practices

• Define and enforce data platform standards, frameworks, and reusable components
• Establish consistent practices for pipeline design, deployment, and monitoring
• Reduce variability across ingestion and processing patterns

Cross-Functional Enablement

• Partner with Data Engineering, Data Architecture, and Business/Data Operations teams
• Support delivery squads in achieving SLAs, reliability targets, and platform adoption goals
• Act as a central enabler for data platform scalability and operational excellence

Qualifications

Education

• Bachelor's degree in a quantitative field (Statistics, Economics, Data Science, Engineering) or related field of study

Required Skills & Experience

• Strong 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 frameworks
• Monitoring and observability tools
• Deep understanding of:
• Distributed data processing (Spark, BigQuery, etc.)
• Data platform architecture and ingestion frameworks
• Experience driving automation, cost optimization, and operational maturity

Leadership & Behavioral Expectations

• Strong ownership mindset with focus on operational excellence and continuous improvement
• Ability to drive standardization across distributed teams
• Proactive in identifying risks, inefficiencies, and improvement opportunities
• Collaborative leadership across cross-functional data squads

Success Metrics

• Reduction in pipeline failures and incident resolution time
• Improvement in SLA adherence and data reliability
• Reduction in platform costs through optimization initiatives
• Increase in automation coverage and operational efficiency
• Standardization and adoption of best practices across teams

At 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, professional 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.