Six Figure Work

Lead Azure Data Engineer

Ryan Specialty Group

Company websiteryanspecialty.com (Ryan Specialty Group, opens in new tab)

Base salary $140K  to $175K

Employer-published annual base salary, USD. Advertised base range in Carmel, IN +1 more

Apply (opens in new tab)

You apply on the employer's own site. Six Figure Work does not handle applications.

  • LocationCarmel, IN +1 more
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (1 h ago) · observed since
All places named
  • Carmel, IN
  • Chicago - Illinois - Wacker

About this job

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. 

Source: Ryan Specialty Group on Workday · View original posting (opens in new tab)

Pay in context

This role's base floor ($140,000) is above 25% of the 3,571 Data & ML roles nationwide listed on this site; 71 others list the same floor. Their median floor is $170,000; the middle half runs from $138,200 to $200,000.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 6, 2026.

This range next to 6 other live Ryan Specialty Group roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Ryan Specialty Group roles with the nearest advertised base floor
RolePublished base
Lead Azure Data Engineer (this listing)$140K - $175K
Cyber Underwriter$140K - $175K
Senior Director Catastrophe Risk$140K - $175K
Underwriter - Cyber$140K - $175K
Underwriter - Programs$140K - $175K
Business Solutions Director$141,600 - $177,000
Inside Broker, ProExec$146,400 - $183,000

Same $100K to $400K scale as every card. All Ryan Specialty Group roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-10-30
Where this pay comes from

Location as the employer wrote it: Carmel - Indiana • Chicago - Illinois - Wacker

The target salary range for this position is $140,000.00 - $175,000.00 annually.

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.