Key skills
AWSAzureJavaPythonData EngineeringSnowflakedbtS3GlueLeadershipProject Management
About this role
Role Overview
- Lead and manage the data engineering team including project planning and resource allocation
- Develop and enforce data engineering standards, processes, and best practices
- Collaborate with stakeholders including business leaders and IT teams to prioritize data-related business needs
- Ensure data solutions are scalable, secure, and aligned with organizational goals
- Drive the adoption of new technologies and methodologies to improve efficiency
- Oversee the development and maintenance of comprehensive data documentation
- Manage the team's technical debt and ensure maintainability and scalability of new solutions
- Provide technical leadership in the resolution of complex data issues
Requirements
- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field
- 7-10 years of experience in data engineering with significant leadership and project management experience
- Experience with AWS, Snowflake, Azure
- Proficiency in AWS Glue, AWS Appflow, Prefect, dbt, S3, Qlik
- Proficient in Python and Java
- Exceptional ability to influence and engage senior leaders with data-driven insights
- Expert in resolving complex, high-stakes problems with innovative solutions
- Demonstrates unwavering resilience in the face of adversity
- Acts as a change agent leading transformative initiatives that drive business success
Tech Stack
- AWS
- Azure
- Java
- Python
Benefits
- Robust health insurance plans including Medical, Dental, and Vision coverage
- 401(k) Retirement Plan with $1 for $1 Company Match up to 5%
- Paid Parental Leave
- Associate Assistance Plan
- Education Assistance Program
- Up to $30,000 in Adoption Assistance
- Up to three weeks of vacation annually
- Generous Holiday, Sick Leave, and Personal Day policies
- New Hire Referral Bonus Program
- Significant Home Purchase Discounts
- Opportunities such as Everyone’s Included Day