This role can be based at any of the following Shift4 locations: Center Valley, PA / Tampa, FL / Morrisville, NC / Las Vegas, NV / Atlanta, GA   Relocation assistance may be available. 

Responsibilities:

Shift4 is expanding globally and building out our data engineering team, seeking an experienced Manager of Data Engineering with a minimum of 7 years of overall experience, 1 year of leadership to spearhead our data architecture, pipeline development, and data lake / data warehousing efforts. This role involves not just technical expertise but also leadership in guiding data strategies that empower our business decisions and initiatives.

Data Architecture: Design, implement, and manage our data infrastructure, ensuring scalability, efficiency, and security. This includes defining data schemas, data pipelines, and data storage solutions. Leadership & Mentorship: Lead data engineers, setting standards for data handling, integration, and warehousing. Mentor junior team members, fostering a culture of continuous learning and improvement. Pipeline Development: Develop robust ETL (Extract, Transform, Load) processes to ingest, process, and transform data from various sources. Optimize data flow and storage for speed, scalability, and reliability. Data Quality and Governance: Establish and enforce data quality standards and governance policies. Implement data validation processes to ensure data integrity. Analytics and Reporting: Collaborate with data scientists and analysts to tailor data solutions that meet analytical requirements. Support the creation of BI tools, dashboards, and reports by providing clean, structured data. Innovation: Research and recommend new technologies and tools to improve data management and processing. Drive the adoption of best practices in data engineering, like data lake architectures, streaming data, and real-time analytics. Project Management: Oversee data-related projects from conception to completion, including planning, execution, and delivery. Ensure project timelines, quality, and objectives are met. Cross-functional Collaboration: Work closely with business stakeholders, product
managers, and other engineering teams to align data strategy with business goals.

Qualifications:

Education: Bachelor's or Master's degree in Computer Science, Data Science, Information Technology, or related field or experience in lieu of a degree may be considered.  At least 7 years of experience in data engineering or a similar discipline. At least 1 year of experience in data engineering people and/or technical leadership Proficiency in SQL and experience with big data technologies (e.g., Hadoop, Spark). Strong coding skills in languages like Python, Java, Scala, Node JS, Golang, etc… Experience with cloud services (AWS, Azure, Google Cloud) for data solutions. Knowledge of data warehousing solutions (e.g., Snowflake, Redshift, BigQuery). Familiarity with data modeling, ETL tools, and data pipeline orchestration tools (e.g., Airflow, Luigi). Understanding of machine learning pipelines and feature engineering is a plus. Excellent analytical and problem-solving skills. Strong communication skills to effectively articulate complex data concepts to non-technical stakeholders. Certifications: AWS Certified Big Data - Specialty, Google Professional Data Engineer, or similar.