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Senior Staff Data Ops Engineer @Peakmetrics

[Hiring] Senior Staff Data Ops Engineer @Peakmetrics

Mar 28, 2025 - Peakmetrics is hiring a remote Senior Staff Data Ops Engineer. 💸 Salary: unspecified. 📍Location: Canada.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.

Role Description

We are looking for an experienced and visionary Senior Data Engineer and DevOps to lead the design, execution, and evolution of our data infrastructure and DevOps strategies. In this role, you will create and collaborate with the Data/Product/Engineering teams to implement a cohesive vision for scalable, secure, and efficient systems, while building a high-performing team of data engineers and DevOps professionals. You will be pivotal in ensuring the seamless integration of data systems with business needs and driving innovation across the organization.

  • Develop and execute the long-term vision for the organization’s data engineering and DevOps strategies.
  • Collaborate with senior leadership to prioritize initiatives, set objectives, and define measurable outcomes.
  • Stay ahead of industry trends, tools, and technologies to ensure competitive advantage and efficiency.
  • Build, mentor, and lead a diverse team of data engineers and DevOps professionals.
  • Foster a culture of innovation, accountability, and collaboration within the team.
  • Establish best practices for performance management, career development, and skills growth.
  • Oversee the design, development, and maintenance of scalable data pipelines, warehouses, and processing frameworks.
  • Build the infrastructure and codebase required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS technologies.
  • Drive the implementation of best practices in data governance, quality, and security.
  • Ensure the availability, reliability, and performance of data systems.
  • Lead the adoption of modern DevOps methodologies to streamline CI/CD pipelines and deployment processes.
  • Ensure robust monitoring, logging, and alerting systems are in place for all applications and data infrastructure.
  • Partner with cross-functional teams, including product, analytics, and engineering, to understand and deliver on business needs.
  • Present project updates, performance metrics, and strategic initiatives to leadership.

Qualifications

  • 13+ years of experience in engineering, with at least 5+ years in data engineering, data ops, or related roles.
  • Proven experience in designing and implementing data architectures, ETL processes, and DevOps pipelines.
  • Expertise in cloud platforms (AWS, Azure, or GCP) and cloud-native solutions.
  • Strong understanding of data governance, security, and compliance standards (e.g., GDPR, HIPAA).
  • Proficiency in programming and scripting languages (e.g., Python, Java, Bash).
  • Experience with modern DevOps tools such as Kubernetes, Docker, Terraform, Jenkins, or similar.
  • Track record of successfully managing and scaling high-performing technical teams.
  • Experience with big data technologies (e.g., Kafka).
  • Familiarity with ML/AI infrastructure and frameworks.
  • Hands-on experience with both relational and non-relational databases (e.g., SQL, NoSQL).
  • Certifications in cloud platforms or DevOps practices are a plus.
  • You have maintained data management systems and have built new data pipelines from scratch.
  • You are comfortable automating data flows with resilient code using Python.
  • Experience with Dagster or other data orchestration platforms such as Airflow.
  • You have strong database architecture design and management knowledge in both structured and unstructured data.
  • Advanced knowledge of Elasticsearch or OpenSearch, including configuration, operation, and using for search.
  • Extensive experience working with SQL, SQLAlchemy with Postgres, Athena, Parquet and Iceberg.
  • You are able to define and communicate data architecture requirements, keeping current with data management best practices.
  • Your clarity of thought is always apparent in your crisp and articulate emails, Slack chats, phone calls, and in-person conversations.
  • Exceptional leadership, communication, and decision-making abilities.
  • Strong analytical mindset with a solution-oriented approach.
  • Ability to balance strategic vision with tactical execution.

Benefits

  • Remote-first culture
  • Health insurance, 401(k) and other benefits
  • Flexible work schedule and unlimited time off
  • Opportunities for professional growth and development
  • A vibrant and inclusive company culture

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Before You Apply
📍 Be aware of the location restriction for this remote position: Canada
Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Senior Staff Data Ops Engineer @Peakmetrics
Devops / Sysadmin
Salary 💸 unspecified
Remote Location
Canada
Job Type full-time
Posted Mar 28, 2025
Apply for this position Unlock 54,659 Remote Jobs
📍 Be aware of the location restriction for this remote position: Canada
Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
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