Data Engineering Manager, Customer Success
- Atlanta, GA, United States
- Employees can work remotely
Today, we’re a partner to sellers of all sizes – large, enterprise-scale businesses with complex commerce operations, sellers just starting out, as well as merchants who began selling with Square and have grown larger over time. As our sellers scale, so do our solutions. We all grow together.
There is a massive opportunity in front of us. We’re building a business that is big, meaningful, and lasting. And we are helping sellers around the world do the same.
The Customer Success Operations team manages the day-to-day operations of the CS organization (Workforce Management, Vendor Management, Tools/Infrastructure), as well as identifying, designing and implementing strategic projects to improve the performance (quality and efficiency) of our CS team. We are a data-driven team: data engineering and analytics is central to everything we do and underpins all of the functions mentioned above.
Square is looking for a Data Engineering Lead to join the Seller Customer Success Operations team to help define, develop and manage curated datasets, key business metrics and reporting. You will lead a team of Data Engineers and you will be responsible to architect, implement and manage Data Models, pipelines and ETLs that will enable various teams access consistent metrics across the Customer Success ecosystem.
We are looking for a leader who combines a strong technical background with excellent team leadership abilities, and who can develop cross-functional relationships.
Set the vision and roadmap for the CS Data Engineering team. Look beyond the immediate asks on the team to prioritize infrastructure initiatives that will enable the team to scale to meet its future needs
Manage, nurture and grow our CS Data Engineering team. Develop their skills and experience through investing time in detailed reviews of their work, coaching specific skill areas and collaborating on career development paths
Collaborate with partner teams on delivering new work, with clear expectations of deadlines and milestones
Partner with functional leads to understand their data and reporting requirements, and translating them into definitions and technical specifications (PRD)
Be responsible for defining, developing and optimizing curated datasets and schemas with standardized metrics and definitions across the the organization
Be responsible for the data migration to new platforms and tools
Develop, deploy, maintain, and optimize data models, pipelines, ETL jobs and visualizations
Model data in Looker or similar visualization tools, to empower data access and self-service resources so your expertise can be leveraged where it is most impactful
Work closely with technical partners in the data platform engineering team on designing and developing robust data structures and highly reliable data pipelines
Troubleshoot technical issues with platforms, performance, data discrepancies, alerts etc.
Perform ad hoc analysis, insight requests, and data extractions to resolve critical business issues.
7+ years of analytical experience in data engineering, data science, or product / BI analytics
Bachelor's degree required, with major in analytical or technical field strongly preferred
Experience managing and developing a team of at least 3 data engineers, covering both individual development as well as overall team strategy
Proven track record of managing relationships and delivering data engineering projects in partnership with a wide variety of teams and functions within a medium-large company
Strong technical intuition and ability to understand complex business systems
Expert knowledge in data modeling concepts and implementation
Strong technical accomplishments in SQL, ETLs and data analysis skills
MySQL, Snowflake, Redshift, or similar data handling experience
Hands on experience in processing extremely large data sets
Work experience with Python
Experience with Linux/OSX command line, version control software (git), and general software development
Expertise in visualization technologies including Looker, Tableau, and others
Familiarity with scripting/programming for data mining and modeling is a plus
Work experience with Java is a plus
Preferred: Familiarity with the world of Customer Success / Customer Support, including common metrics, drivers and business best practices
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis.
We want you to be well and thrive. Our global benefits package includes:
- Healthcare coverage
- Retirement Plans
- Employee Stock Purchase Program
- Wellness perks
- Paid parental leave
- Paid time off
- Learning and Development resources
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.