Job Description

Overview

Shift4 (NYSE: FOUR)is boldly redefining commerce by simplifying complex payments ecosystems across the world. As the leader in commerce-enabling technology, Shift4 powers billions of transactions annually for hundreds of thousands of businesses in virtually every industry. For more information, visit  .

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 Lead Data Engineer with a minimum of 7 years of overall experience to include 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 project 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.


• Lead data engineers, setting standards for data handling, integration, and warehousing.


• Mentor junior team members, fostering a culture of continuous learning and improvement.


• 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.


• Establish and enforce data quality standards and governance policies.


• Implement data validation processes to ensure data integrity.


• 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.


• 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.


• Oversee data-related projects from conception to completion, including planning, execution, and delivery.


• Ensure project timelines, quality, and objectives are met.


• Work closely with business stakeholders, product  managers, and other engineering teams to align data strategy with business goals.

Qualifications:

• 7+ years of experience in data engineering or a similar discipline.


• 1+ years of experience in project leadership and leading data engineers.


• 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 would be a plus to have.


• BS or MS in Computer Science, Data Science, Information Technology or related field - experience in lieu of a degree may be considered. 

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We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class.

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