Lead Azure Databricks Data Engineer implementing data solutions for data engineering projects at Ryan Specialty. Collaborating with stakeholders and mentoring junior staff on data pipelines and ETL processes.
About the role
- Data Engineer at Strider Technologies designing and scaling data platforms using cloud technologies. Collaborating with teams to create a robust analytics and BI infrastructure.
Responsibilities
- Design, implement, and maintain scalable data pipelines (ETL/ELT) in a modern cloud data warehouse (e.g., Databricks, Snowflake, BigQuery, or Redshift).
- Ingest, transform, and integrate internal system data (e.g., CRM, product, finance) and external vendor datasets.
- Prepare and process structured and unstructured data to support analytics, business intelligence, and automation use cases.
- Model and optimize datasets using Lakehouse or warehouse-based architectures for downstream consumption.
- Collaborate closely with analysts and cross-functional partners to build production-grade data assets.
- Champion and implement best practices for data quality, observability, and lineage.
- Partner with cloud infrastructure teams (AWS, Azure, or GCP) to ensure scalable, secure, and cost-efficient systems.
- Explore and deploy AI-enabled automation tools and workflows across the business.
- Advocate for productivity-boosting technologies such as ChatGPT, Copilot, Cursor, and dbt-assist.
- Help document standards, develop reusable components, and mentor junior data engineers.
Requirements
- 5+ years of experience in data engineering or analytics engineering roles.
- Strong proficiency with SQL and Python (or Scala).
- Hands-on experience with modern cloud data warehouses (Databricks, Snowflake, BigQuery, or Redshift).
- Familiarity with tools in the modern data stack (e.g., dbt, Airflow, Fivetran, Dagster).
- Proven ability to manage and transform large, complex datasets across structured and unstructured formats.
- Solid understanding of data warehousing concepts, dimensional modeling, and Git-based version control.
- Experience leveraging AI-assisted development tools and enthusiasm for scaling their use internally.
- Comfortable working in fast-paced environments and collaborating across technical and non-technical teams.
Benefits
- Competitive Compensation
- Company Equity Options
- Flexible PTO
- Wellness Reimbursement
- US Holidays (Office Closed)
- Paid Parental Leave
- Comprehensive Medical, Dental, and Vision Insurance
- 401(k) Plan
Job title
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Experience level
Salary
Not specified
Degree requirement
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Lead Azure Databricks Data Engineer at Ryan Specialty focused on implementing data solutions and collaborating with cross - functional teams to enhance data architecture.
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