Position Summary The Lead Azure Data Engineer will be reporting to VP of Data Engineering and will be responsible for implementing data solutions and collaborating with Business Analyst, Data Analyst, IT Teams and key stake holders. This role will lead projects and coach junior staff on build and optimize data pipelines, integrating data from various sources, ETL (Extract, Transform, Load) processes and ensuring data quality and consistency. The Lead will ensure that our data engineering practices are aligned with the latest technologies and industry best practices, focusing on performance, reliability, and efficiency. What will your job entail? Job Responsibilities: • Provide technical leadership in data architecture and engineering, collaborating with solution stakeholders to align data solutions with business objectives. • Mentor less experienced data engineers and team members, fostering a collaborative and innovative work environment. • Explore and implement new technologies and practices in data engineering to continually improve our data processes and infrastructure. • Manage and enhance complex SSIS packages for data integration and ETL processes, along with SSRS reports for business intelligence. • Design, build, and maintain scalable and efficient data pipelines using Azure Data Factory, implementing both batch and real-time data integration processes. • Develop and optimize Databricks notebooks for big data processing and analytics in Azure Databricks environments. • Implement and manage data storage solutions using Delta Parquet files in Azure Data Lake Storage, optimizing for query performance and cost-efficiency. • Integrate and configure Profisee Master Data Management tools within Azure, focusing on data governance and quality. • Set up and manage Change Data Capture processes for real-time data synchronization in Azure data platforms. • Implement data cataloging, classification, and lineage using Azure Purview, developing data governance policies, and ensuring compliance. • Enhance and support Tableau reporting solutions, developing complex dashboards, and integrating with Azure data services. • Drive automation and process optimization using Azure services and scripting and implement CI/CD pipelines using Azure DevOps. • Lead SQL Server database optimization and performance tuning efforts. • Lead, Coach and Mentor junior staff on projects. Work Experience and Education: • Bachelor’s degree required, Master’s degree preferred; Computer science, Information Technology or Engineering is preferred. Any other related discipline or commensurate work experience considered. • 12+ years of experience in Data Engineering with a Bachelor’s degree, or 8 years of experience with a Master’s degree is preferred. • Subject Matter Expert in SQL Server Management, Azure Data Factory Development, Databricks Engineering, Delta Parquet File Management, and SQL Server Integration Services. • Proficiency in Profisee MDM Integration, Change Data Capture implementation, and data quality and governance with Azure Purview. • Proven experience in Tableau and BI Reporting, and strong skills in Automation and Process Licenses & Certifications: • Advanced Data Analytics Certifications (ADAC), SAS Statistical Business Analyst Professional Certification (SBAPC), or Cloudera Certified Professional (CCP) Data Engineer a plus. Skills: Technical/Functional Skills: • Big Data Analytics • Leadership • Data Governance • Data Modeling • Data Processing • Data Warehousing • Database Management • Knowledge of ETL processes • Machine Learning • Predictive Analysis • Programming Languages Behavioral Skills: • Critical Thinker • Communication • Relationship Building • Effective Communication • Time Management • Problem Solving • Attention to Detail *****Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time***** Ryan Specialty is an Equal Opportunity Employer. We are committed to building and sustaining a diverse workforce throughout the organization. Our vision is an inclusive and equitable workplace where all employees are valued for and evaluated on their performance and contributions. Differences in race, creed, color, religious beliefs, physical or mental capabilities, gender identity or expression, sexual orientation, and many other characteristics bring together varied perspectives and add value to the service we provide our clients, trading partners, and communities. This policy extends to all aspects of our employment practices, including but not limited to, recruiting, hiring, discipline, firing, promoting, transferring, compensation, benefits, training, leaves of absence, and other terms, conditions, and benefits of employment. How We Support Our Teammates Ryan Specialty seeks to offer our employees a comprehensive and best-in-class benefits package that helps them — and their family members — achieve their physical, financial, and emotional well-being goals. In addition to paid time off for company holidays, vacation, sick and personal days, Ryan offers paid parental leave, mental health services and more. The target salary range for this position is $140,000.00 - $175,000.00 annually. The wage range for this role considers many factors, such as training, transferable skills, work experience, licensure and certification, business needs, and market demands. The pay range is subject to change and may be modified in the future. Full-time roles are eligible for bonuses and benefits. For additional information on Ryan Specialty Total Rewards, visit our website https://benefits.ryansg.com/. We provide individuals with disabilities reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment in accordance with applicable law. Please contact us to request an accommodation at [email protected] The above is intended to describe this job's general requirements. It is not to be construed as an exhaustive statement of duties, responsibilities, or physical requirements. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. A multi-time winner of Newsweek’s Most Loved Workplaces and Insurance Business’s Top Insurance Employers, Ryan Specialty is home to some of the brightest talent in the insurance industry. Join our team and help provide innovative solutions for insurance brokers, agents and carriers. Talent Network Not seeing the right job opening? To learn more about future opportunities Introduce yourself and join our talent network Benefits Curious about Ryan Specialty’s benefits? Explore our employee benefits here! Ryan Specialty, LLC and its affiliates (“Ryan Specialty”) do not accept unsolicited resumes or candidate profiles submitted by any staffing agencies, placement services or professional recruiters (“Agencies”), including any submissions made through our website or to email accounts of Ryan Specialty employees. Agencies must be registered in Ryan Specialty’s agency portal and have a fully executed contract for service between Ryan Specialty and the Agency. Agency fee agreements will only be valid if provided in such fully executed contract between Ryan Specialty and the Agency. Any unsolicited resume or candidate profile received from an Agency without prior approval from Ryan Specialty’s HR department and in compliance with Ryan Specialty’s candidate submission process shall be considered unsolicited, gratuitous and property of Ryan Specialty for recruiting purposes and, as such, is not subject to payment of any Agency fees.

Lead Azure Data Engineer.

more at ryansg.

Underwriting Assistant

Business Systems Analyst (Contract)

Senior Transactional Liability Underwriter

similar roles.

Sr Manager Data Analytics Logistics & Procurement

Data Engineer I (Onsite)

Senior Data Scientist - LLM / Clinical NLP

Implementation Specialist - US

Data Operations Analyst

Senior Data Scientist