What are the responsibilities and job description for the Data Engineering Manager position at Virtual?
THIS ROLE IS NOT AVAILABLE FOR C2C OR VISA SPONSORSHIP
We are seeking a highly motivated and experienced Data Engineering Manager to lead our client’s data engineering team here in the Pittsburgh market. This is a direct hire opportunity with a hybrid work schedule of 3 days on site and 2 days remote. This individual would need to be located in the Pittsburgh market.
As the Data Engineering Manager, you will be responsible for designing, building, and maintaining our robust, scalable, and reliable data infrastructure. You will play a pivotal role in empowering data-driven decision-making across the organization by ensuring the availability, quality, and performance of our data assets.
Responsibilities :
- Leadership & Team Management :
- Lead, mentor, and develop a team of data engineers, fostering a collaborative and innovative environment.
- Set clear goals, provide performance feedback, and conduct performance reviews.
- Recruit, onboard, and train new data engineering team members.
- Drive team efficiency and effectiveness by promoting best practices in data engineering.
- Data Infrastructure Design & Development :
- Design and build scalable, robust, and reliable data pipelines for ingestion, processing, and storage of large datasets.
- Develop and maintain data warehouses, data lakes, and other data storage solutions.
- Implement and maintain data quality monitoring and alerting systems.
- Technical Strategy & Roadmap :
- Develop and execute the data engineering roadmap, aligning with the company's overall data strategy and business goals.
- Evaluate and recommend new technologies and tools to improve data engineering capabilities.
- Stay up to date with the latest trends and best practices in data engineering.
- Collaboration & Communication :
- Collaborate with functional leaders in Finance, Pricing, Operations, Sales, and Supply Chain to use data-driven methodologies to develop routines that improve margin, increase fill-rate, optimize inventory, and increase sales.
- Communicate technical concepts clearly and effectively to both technical and nontechnical audiences.
- Promote data literacy and data-driven decision-making across the organization.
- Participate in cross-functional meetings and contribute to overall project planning. Required Skills & Experience :
Bachelor’s degree in computer science, Data Science, or equivalent experience.
Preferred Skills & Experience :
