Sr. Manager - Data Integrations and Engineering
Charlie's Produce
- Seattle, WA
- $145,000-165,000 per year
- Permanent
- Full-time
- An amazing company culture!
- Medical/Dental/Vision on the first of the month following hire.
- ESOP (Profit Sharing) and 401(k).
- Paid vacations, paid holidays.
- Pre-tax commuter benefits, and onsite parking.
- Coverage under State Sick Leave.
- 100% Prepaid College Tuition for employees and their dependents.
- Employee assistance program (EAP).
- Salary range: $145,000 - $165,000 annually dependent on experience.
- Yearly review with possibility of increase based on performance and tenure.
- Leadership & Management:
- Lead and develop a team of Data Engineers and EDI Engineers, setting clear goals and providing regular feedback.
- Foster a culture of continuous improvement, innovation, and collaboration.
- Data Strategy & Architecture:
- Develop and implement data engineering and integrations strategies aligned with business goals.
- Design and optimize data architecture for scalability, efficiency, and security.
- Ensure data governance and compliance with data privacy regulations.
- Project Management:
- Oversee project timelines, budgets, and resource allocation.
- Collaborate with cross-functional teams to deliver data solutions on time and within scope.
- Monitor and report on project progress, risks, and outcomes.
- Technical Expertise:
- Provide technical guidance on data engineering best practices.
- Implement and maintain data pipelines, ETL processes, and data warehouses.
- Stay updated with emerging technologies and industry trends.
- Well versed on EDI technologies Eg. Cleo or similar tools.
- Should be able to do hands-on work depending on the help needed (~30% hands-on work expected).
- Experience
- 10+ years of experience in data engineering or related fields.
- 5+ years in a managerial or leadership role.
- Track record of delivering complex data solutions.
- Track record of data integrations in large ERP implementations
- Education
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Advanced degree preferred.
- Technical Skills:
- Data engineering tools and technologies (e.g., SQL, Python, Hadoop, Spark).
- Cloud platforms (e.g., AWS, Azure, Google Cloud).
- Data modeling, ETL processes, EDI and data warehousing.
- Tableau and PowerBI