Data Delivery Lead (Snowflake, PySpark, BI & Analytics)
📍 Location: Lake County, IL (Onsite/Hybrid)
💼 Duration: Contract through End of 2026
About the Role
We are seeking an experienced Data Delivery Lead to drive end-to-end delivery of Business Intelligence, Data Warehouse, DevOps, and Analytics solutions across multiple concurrent initiatives. This role will partner with cross-functional business and technology teams to design, build, and optimize scalable data platforms and reporting solutions.
This is a high-impact leadership role requiring both strong technical expertise and the ability to lead distributed teams in a fast-paced environment.
Key Responsibilities
- Lead multiple data engineering, BI, and analytics projects simultaneously across development and operations teams
- Design and implement scalable data platforms using Snowflake and modern data technologies
- Drive end-to-end delivery including architecture, development, optimization, and support
- Build and optimize Snowflake data warehouses (data modeling, performance tuning, cost optimization)
- Develop scalable data processing solutions using PySpark and Snowpark
- Establish reusable frameworks, standards, and automation patterns across teams
- Create and deliver dashboards and reporting solutions using diverse data sources
- Manage project planning, estimation, risk assessment, and delivery timelines
- Collaborate with business stakeholders, product owners, and IT leadership to define solutions
- Act as a liaison between IT and operations to resolve production issues
- Promote Agile methodologies and continuous improvement practices
Required Qualifications
- 10+ years of experience in Data Engineering, BI, Data Warehousing, or Analytics
- Strong hands-on experience with Snowflake (data modeling, optimization, performance tuning)
- Expertise in SQL and Python
- Experience with PySpark and/or Snowpark
- Hands-on experience with ETL tools (Informatica IICS, PowerCenter, AWS Glue, or similar)
- Proven ability to lead multiple teams and projects simultaneously
- Strong experience in data architecture and large-scale data processing
- Experience working in Agile environments
- Excellent communication and stakeholder management skills
Preferred Qualifications
- Experience with BI tools such as Power BI, QlikView, or Qlik Sense
- Exposure to life sciences or pharmaceutical domain
- Experience with DevOps practices and automation frameworks
- Strong focus on process improvement and intelligent automation
What We’re Looking For
- A technical leader who can balance hands-on engineering with delivery ownership
- Strong problem-solving skills with a focus on scalability and optimization
- Ability to thrive in a fast-paced, multi-project environment
- Passion for modern data platforms, automation, and innovation
Why Join
- Opportunity to work on large-scale enterprise data platforms
- High visibility role with cross-functional leadership exposure
- Work with modern technologies like Snowflake, PySpark, and cloud data ecosystems
