Director, Data Engineering

Posted 9 Days Ago
Be an Early Applicant
3 Locations
Remote
Expert/Leader
Fintech • Financial Services
The Role
The Director of Data Engineering will lead the data engineering team, overseeing data architecture, pipeline development, and governance while driving data strategy and project management. The role includes mentoring engineers, collaborating with stakeholders, and implementing best practices for data management.
Summary Generated by Built In
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 www.shift4.com.

Director of Data Engineering


Overview:


Shift4 is expanding globally and building out our data engineering team, seeking an experienced Director of Data Engineering with a minimum of 10 years of overall experience, 3 years of management 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.


Responsibilities:

  • 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 a team of ~10 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 10 years of experience in data engineering or a similar discipline.
  • At least 3 years of experience in managing data engineers or a similar discipline.
  • Experienced conducting 1:1s, fostering growth plans, and managing engineering velocity.
  • 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.


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.


Top Skills

Go
Java
Node.js
Python
Scala
The Company
HQ: Pennsylvania, NY
835 Employees
On-site Workplace
Year Founded: 1999

What We Do

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.

Similar Jobs

Remote
23 Locations
10000 Employees
185K-295K Annually
Easy Apply
Remote
United States
340 Employees

Effectv Logo Effectv

Executive Director, Data Engineering & Data Governance

AdTech • Digital Media • Marketing Tech
Remote
Pennsylvania, USA
2157 Employees
160K-374K Annually
Remote
Pennsylvania, USA
5000 Employees
160K-374K Annually

Similar Companies Hiring

Bectran, Inc Thumbnail
Software • Machine Learning • Information Technology • Fintech • Automation • Artificial Intelligence
Schaumburg, IL
51 Employees
Energy CX Thumbnail
Utilities • Professional Services • Greentech • Financial Services • Energy • Consulting • Business Intelligence
Chicago, IL
55 Employees
MassMutual India Thumbnail
Insurance • Information Technology • Fintech • Financial Services • Big Data
Hyderabad, Telangana

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account