Remote Senior Staff Data Ops Engineer (Canada)

Description:

• PeakMetrics is seeking a Senior Staff Data Ops Engineer to lead the design, execution, and evolution of data infrastructure and DevOps strategies.
• The role involves creating and collaborating with Data/Product/Engineering teams to implement a cohesive vision for scalable, secure, and efficient systems.
• Responsibilities include developing and executing the long-term vision for data engineering and DevOps strategies, collaborating with senior leadership to prioritize initiatives, and staying ahead of industry trends.
• The candidate will build, mentor, and lead a diverse team of data engineers and DevOps professionals, fostering a culture of innovation and accountability.
• The position requires overseeing the design, development, and maintenance of scalable data pipelines, warehouses, and processing frameworks.
• The engineer will build infrastructure for optimal data extraction, transformation, and loading using SQL and AWS technologies.
• The role includes driving best practices in data governance, quality, and security, ensuring the availability and performance of data systems.
• The candidate will lead the adoption of modern DevOps methodologies and ensure robust monitoring, logging, and alerting systems are in place.
• The engineer will partner with cross-functional teams to understand and deliver on business needs and present project updates to leadership.

Requirements:

• Candidates must have 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 is required.
• Expertise in cloud platforms (AWS, Azure, or GCP) and cloud-native solutions is essential.
• A strong understanding of data governance, security, and compliance standards (e.g., GDPR, HIPAA) is necessary.
• Proficiency in programming and scripting languages (e.g., Python, Java, Bash) is required.
• Experience with modern DevOps tools such as Kubernetes, Docker, Terraform, and Jenkins is needed.
• A track record of successfully managing and scaling high-performing technical teams is essential.
• Familiarity with big data technologies (e.g., Kafka) and ML/AI infrastructure is preferred.
• Hands-on experience with both relational and non-relational databases (e.g., SQL, NoSQL) is required.
• Certifications in cloud platforms or DevOps practices are a plus.
• Candidates should have experience maintaining data management systems and building new data pipelines from scratch.
• Strong database architecture design and management knowledge in both structured and unstructured data is necessary.
• Advanced knowledge of Elasticsearch or OpenSearch is required.
• Exceptional leadership, communication, and decision-making abilities are essential.
• Candidates must have a strong analytical mindset with a solution-oriented approach and the ability to balance strategic vision with tactical execution.

Benefits:

• The position offers a remote-first culture, allowing for flexibility in work location.
• Employees receive health insurance, a 401(k), and other benefits.
• A flexible work schedule and unlimited time off are provided.
• Opportunities for professional growth and development are available.
• The company promotes a vibrant and inclusive culture.