Data Engineering Manager, Customer Success

  • Jackson, CA, United States
  • Employees can work remotely
  • Full-time

Company Description

Since we first opened our doors in 2009, the world of commerce has evolved immensely – and so has Square. After enabling anyone to take a payment and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn’t work together. So we expanded into software and started building integrated, omnichannel solutions – to help sellers sell online, manage inventory, run a busy kitchen, book appointments, engage loyal buyers, and hire and pay staff. And across it all, we’ve embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow all in one place.

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.

Job Description

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. 

 You will:

  • 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.

Qualifications

  • 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

 

Additional Information

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, veteran status, 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, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.

Perks

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.

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