Sr. Data Engineer & Architect

Develop and Implement Data Architecture Strategy : Create and sustain a comprehensive data architecture that aligns with Clarasight’s business goals.Oversee the Data Warehouse : Manage Clarasight’s core data warehouse, providing the essential backend infrastructure for the B2B SaaS platform.Engage Directly with Customers : Collaborate with customers on data ingestion and reporting needs, ensuring seamless integration of their data into the platform.Optimize Data Ingestion Processes : Handle all stages of data ingestion, establishing a scalable, efficient data flow.Architect and Manage ETL Systems : Design an enterprise-level ETL architecture that accommodates all third-party and customer data feeds, focusing on robust Python-based ETL and orchestration tools.Execute Data Cataloging and Analytics : Perform data cataloging on source data, define clear business rules for data ingestion, and oversee analytics to support data-driven decisions.Build and Maintain ETL Pipelines : Write requirements and implement robust ETL pipelines, prioritizing exception handling and scalability.Lead Data Quality Assurance : Manage both manual and automated data quality processes, ensuring reliable and accurate data.Define and Maintain SLAs : Establish service-level agreements to ensure high-quality data standards.Serve as a Subject Matter Expert : Develop specialized knowledge in travel and expense data, applying it to support client needs.Collaborate Across Teams : Work with engineering, data science, product management, and customer success teams to ensure an integrated approach.Establish Data Governance : Implement data governance policies and democratize data access through compliant, secure channels.Monitor and Troubleshoot Data Infrastructure : Oversee infrastructure monitoring and proactively troubleshoot any issues to maintain high reliability.Plan for Business Continuity and Disaster Recovery : Design and test continuity and recovery strategies for the data warehouse.Provide Technical Leadership : Engage in technical mentorship through activities like code reviews, pairing, ADRs, and presentations.

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