Lead Data Engineer

Shift4; Tampa, Morrisville, Center Valley, Las Vegas, Atlanta (FL, NC, Lehigh County, NV, GA); On-site; USD 100,000 - 150,000; Full time

Job summary

Shift4, a leader in commerce technology, seeks a Lead Data Engineer to spearhead data strategy and architecture. You will design scalable infrastructure, lead a talented team, and ensure robust data solutions for enhanced business insights. Candidates should possess extensive data engineering experience and strong leadership skills.

Qualifications

• 7+ years in data engineering with 1+ year in leadership.
• Proficient in SQL and big data technologies.
• Experience with cloud services and data warehousing solutions.

Responsibilities

• Design and manage data infrastructure ensuring scalability and security.
• Lead teams on data integration and warehousing.
• Oversee projects from inception to completion, aligning data strategy with business goals.

Skills

SQL

Big Data Technologies

Data Modeling

ETL Processes

Data Pipeline Orchestration

Analytical Skills

Communication

Education

BS or MS in Computer Science

AWS Certified Big Data - Specialty

Google Professional Data Engineer

Tools

Hadoop

Spark

Airflow

AWS

Azure

Google Cloud

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 forhundreds ofthousands of businesses in virtuallyevery industry. For more information, visitwww.shift4.com .

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).
• 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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This role is an onsite / hybrid role based at any of the Shift4 core locations: Center Valley, PA (HQ), Las Vegas, NV, Tampa, FL, Morrisville, NC, and Atlanta, GA. Relocation assistance may be available. Which locations are you open to? *

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