Sr Manager, Data Engineering

Clarus Technology Inc. is focused on transforming pet health through innovative data solutions. The Senior Manager, Data Engineering will lead the strategy and execution of a modern data platform, ensuring high-quality data assets and scalable data capabilities to support the company's growth.

Responsibilities:

• Define and execute the roadmap for data engineering capabilities aligned with business and product priorities
• Design, build, and optimize scalable batch and real-time data ingestion frameworks using Azure Databricks, ADLS Gen2, and Azure-native technologies
• Establish reusable data engineering patterns, orchestration standards, and platform best practices
• Drive reliability, observability, performance optimization, and cost efficiency of data pipelines and infrastructure
• Lead the strategy and implementation of Master Data Management (MDM) capabilities across key business domains
• Define and govern trusted data assets and golden records for critical business entities including customers, products, providers, and partners
• Partner with business, product, and analytics stakeholders to ensure consistent and trusted enterprise data
• Develop scalable approaches for entity resolution, matching, taxonomy management, and hierarchical data modeling
• Champion modern lakehouse architecture principles and modular data design
• Establish robust data quality frameworks, monitoring, SLAs, and operational support processes
• Ensure alignment with enterprise governance, security, privacy, and regulatory requirements
• Lead, mentor, and grow a team of data engineers while fostering a culture of ownership, collaboration, and continuous improvement
• Contribute directly to architecture decisions, technical design, and critical implementation efforts when needed
• Drive agile delivery, sprint planning, and engineering best practices across the team
• Establish CI/CD standards, testing strategies, and DataOps best practices to support platform scalability and reliability

Requirements:

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field
• 10+ years of experience in data engineering, data platform development, or related disciplines
• 2+ years of experience leading technical teams, mentoring engineers, or serving in a technical leadership capacity
• Deep experience with Azure cloud data platforms, including Azure Databricks, ADLS Gen2, Azure Data Factory, Event Hub, and related services
• Strong experience building modern data platforms, lakehouse architectures, and distributed data processing solutions
• Experience developing and implementing Master Data Management (MDM) solutions and enterprise data models
• Expertise with SQL, Python, Spark, and modern data engineering frameworks
• Experience building and supporting both batch and real-time data processing pipelines
• Strong understanding of data governance, metadata management, data quality, and security best practices
• Experience implementing CI/CD pipelines, DevOps practices, and infrastructure automation
• Excellent communication skills with the ability to influence technical and non-technical stakeholders
• Experience in healthcare, insurance, pet health, or other highly regulated industries is a plus
• Experience with entity resolution, probabilistic matching, or customer data platforms is a plus