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The Senior Data Engineer reports to the Sr Director of Engineering and is responsible for defining and implementing a unified data architecture to streamline and enhance data access, storage, and reporting across the company. You will define standards and best practices for data governance, meet with and understand the data and reporting needs of various teams, and create robust reporting mechanisms. Additionally, you will lead efforts to integrate AI technologies into our data workflows to unlock predictive insights and advanced analytics capabilities.
Job Responsibility:
Design and implement a scalable, robust, and consistent data architecture, aligned with business objectives, that supports both operational and analytical needs
Own and support data pipelines integrating data sourced across multiple systems. Deliver a highly available data platform leveraged by business users across the enterprise
Partner with engineering teams to integrate AI and machine learning models into the data architecture, enabling predictive analytics, automation, and improved decision-making capabilities
Work closely with business and project stakeholders to deliver data solutions for a diverse set of problems
Help ensure security, privacy, and compliance for all data assets and workflows
Create comprehensive documentation for data processes, structures, and pipelines. Provide training and support to ensure best practices are followed throughout the organization. Design and develop data pipelines for data collection, analysis, and related functions
Establish and enforce data governance standards, ensuring data consistency, accuracy, and integrity across all systems and departments
Provide thought leadership for technical architecture design, development, and deployment to support enterprise-wide data needs
Performs related duties as requested
Requirements:
Bachelor's Degree in Computer Science, Data Science, Mathematics, Statistics, Econometrics, Economics, or related field
7+ years of experience in data architecture, data engineering, or related roles
Strong proficiency in database management systems (SQL, NoSQL), data warehousing, and data modeling techniques including Azure data technologies such as Azure Fabric, Azure One Lake, Azure SQL, Azure Data Factory, Azure Data Lake, Azure Cosmos DB
Solid understanding of data governance, security practices, and privacy laws (HIPAA, CCPA)
Excellent problem-solving skills and a strategic mindset with the ability to influence key stakeholders
Prior Experience working in healthcare, clinical experience preferred
What we offer:
Excellent benefits, including healthcare, dental, vision
401K with 3% match
Unlimited PTO and Generous Sick Time
12 Observed holidays
Free Sollis Health membership for you and your eligible family members