Director – Data Engineering

At Early Warning, we’ve powered and protected the U.S. financial system for over thirty years with cutting-edge solutions like Zelle®, Paze℠, and so much more. As a trusted name in payments, we partner with thousands of institutions to increase access to financial services and protect transactions for hundreds of millions of consumers and small businesses.

Positions located in Scottsdale, San Francisco, Chicago, or New York follow a hybrid work model to allow for a more collaborative working environment.

Candidates responding to this posting must independently possess the eligibility to work in the United States, for any employer, at the date of hire. This position is ineligible for employment Visa sponsorship.

Overall Purpose

The Director, Data Engineering leads a technical team that will implement and run an AWS cloud hosted analytics platform providing access to financial data to data scientists, business intelligence analysts and business owners across all Early Warning Systems via an Enterprise Data Lakehouse and Analytics Data Platform.

Essential Functions

• Directs and manages a cross functional team of data engineers, cloud engineers, and security engineers to deliver features to business users.

• Actively contributes toward the vision, organization and strategic leadership of the Data Engineering department.

• Partners with CDO product managers to prioritize and schedule features on product roadmap.

• Implements company-wide standards for security and data handling processes.

• Implements operational controls to ensure that SLOs and SLAs can be met.

• Builds, develops and directs a high performing team.  Provides leadership and guidance to staff for professional development, which includes planning and coordinating training, defining mentoring strategies, and providing hands on training and education.

• Provides resource management to the team by participating in the hiring process, coordinating project assignments, documenting and executing annual performance evaluations.

• Support the company's commitment to risk management and protecting the integrity and confidentiality of systems and data. Ensure inclusion of strong data governance, risk, security, and data quality controls.

Minimum Qualifications

• Education and/or experience typically obtained through a bachelor’s degree in computer science or related technical field.

• Minimum ten (10) or more years of relevant related experience.

• Demonstrated experience in building data pipelines and data platform at scale on AWS fully deployed to consumption by a user community.

• Experience handling sensitive data that required anonymization or tokenization.

• Experience supporting a data platform in AWS in a production setting including setting up on-call rotations for engineering support.

• Experience implementing non-functional requirements to make data pipeline and platform self-healing, observable and supportable.

• Experience collaborating and partnering with stakeholders to define SLAs, KPIs and usage guidelines to deliver a highly available and reliable platform.

• Background and drug screen.

Preferred Qualifications

• Experience with some or all of the following technologies:

• Virtualization – Docker, Kubernetes

• ETL and data mapping – Airflow, dbt, Fivetran

• Secure data collaboration environments – AWS Workspaces, AWS Clean Rooms or similar

• Observability tools – Grafana/Prometheus, Honeycomb or similar

• Tokenization technologies

Physical Requirements

Working conditions consist of a normal office environment. Work is primarily sedentary and requires extensive use of a computer and involves sitting for periods of approximately four hours. Work may require occasional standing, walking, kneeling and reaching. Must be able to lift 10 pounds occasionally and/or negligible amount of force frequently. Requires visual acuity and dexterity to view, prepare, and manipulate documents and office equipment including personal computers. Requires the ability to communicate with internal and/or external customers.

Employee must be able to perform essential functions and physical requirements of position with or without reasonable accommodation.

The above job description is not intended to be an all-inclusive list of duties and standards of the position.

The base pay scale for this position in:

Phoenix, AZ/ Chicago, IL in USD per year is: $180,000 - $220,000.

New York, NY/ San Francisco, CA in USD per year is: $190,000 - $230,000.

Additionally, candidates are eligible for a discretionary incentive plan and benefits.

This pay scale is subject to change and is not necessarily reflective of actual compensation that may be earned, nor a promise of any specific pay for any specific candidate, which is always dependent on legitimate factors considered at the time of job offer. Early Warning Services takes into consideration a variety of factors when determining a competitive salary offer, including, but not limited to, the job scope, market rates and geographic location of a position, candidate’s education, experience, training, and specialized skills or certification(s) in relation to the job requirements and compared with internal equity (peers). The business actively supports and reviews wage equity to ensure that pay decisions are not based on gender, race, national origin, or any other protected classes.

Some of the Ways We Prioritize Your Health and Happiness 

•  Healthcare Coverage – Competitive medical (PPO/HDHP), dental, and vision plans as well as company contributions to your Health Savings Account (HSA) or pre-tax savings through flexible spending accounts (FSA) for commuting, health & dependent care expenses.

• 401(k) Retirement Plan – Featuring a 100% Company Safe Harbor Match on your first 6% deferral immediately upon eligibility.

• Paid Time Off – Unlimited Time Off for Exempt (salaried) employees, as well as generous PTO for Non-Exempt (hourly) employees, plus 11 paid company holidays and a paid volunteer day.

• 12 weeks of Paid Parental Leave

• Maven Family Planning – provides support through your Parenting journey including egg freezing, fertility, adoption, surrogacy, pregnancy, postpartum, early pediatrics, and returning to work.

And SO much more! We continue to enhance our program, so be sure to check our Benefits page here for the latest. Our team can share more during the interview process!

Early Warning Services, LLC (“Early Warning”) considers for employment, hires, retains and promotes qualified candidates on the basis of ability, potential, and valid qualifications without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote equal employment opportunity and affirmative action, in accordance with all applicable federal, state, and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our employees. 

Early Warning Services LLC is a proud participant in E-Verify, a federal program to help ensure a legal and authorized workforce. As part of our hiring process, we electronically verify the employment eligibility of all new hires through E-Verify. For more information on your rights and responsibilities under E-Verify please visit Home | E-Verify.