Note: The job is a remote job and is open to candidates in USA. Clarus Technology is focused on transforming pet health through intelligent systems. They are seeking a Senior Manager of Data Engineering to lead the development of their modern data platform, ensuring high-quality data assets and scalable data capabilities to support 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
Skills
- 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
Benefits
- Comprehensive full medical, dental and vision Insurance
- Basic Life Insurance at no cost to the employee
- Company paid short-term and long-term disability
- 12 weeks of 100% paid Parental Leave
- Health Savings Account (HSA)
- Flexible Spending Accounts (FSA)
- Retirement savings plan
- Personal Paid Time Off
- Paid holidays and company-wide Wellness Day off
- Paid time off to volunteer at nonprofit organizations
- Pet friendly office environment
- Commuter Benefits
- Group Pet Insurance
- On the job training and skills development
- Employee Assistance Program (EAP)
Company Overview