Data Architecture Lead

7 days ago

San Francisco, California, United States Early Warning Services LLC Full time

At Early Warning Services LLC, we power and protect the US financial system with cutting-edge solutions like Zelle and Paze. 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.

The position is located in various locations and follows a hybrid work model to foster collaboration. Candidates must independently possess the eligibility to work in the United States at the time of hire. This role does not qualify for employment Visa sponsorship.

Role Overview

This key position plays a crucial part in developing, testing, and deploying complex solutions.

  • Create data strategies that go beyond immediate team needs and solve large open-ended problems.
  • Participate in strategic project development, evaluating methods, techniques, and criteria.
  • Oversee technical and data architecture, design, prototyping, and implementation for product and technology needs.
  • Lead technical planning, execute design and build processes through production delivery.
  • Provide leadership and expertise to functional teams and plan execution.
  • Represent engineering in cross-functional sessions and present arguments to persuade others.
  • Collaborate with product managers, designers, and engineering groups to conceptualize new features and create product descriptions.
  • Own features or systems and define their long-term health, improving surrounding systems.
  • Assist Support and Operations teams in resolving production issues.
  • Develop tests for quality, performance, and scalability.
  • Seek ways to improve engineering standards, tooling, and processes.
  • Support risk management and protect system integrity and confidentiality.
Requirements
  • Bachelor's degree in computer science or related field, or equivalent experience.
  • Ten or more years of relevant experience.
  • Seven or more years in complex data platforms, distributed systems, SaaS, cloud solutions, microservices.
  • Six or more years in Data Warehouse, Big Data - structured & unstructured platforms, real-time & batch processing, data standards.
  • Experience delivering business-critical systems to market.
  • Ability to influence and work in a collaborative environment.
  • Designing/developing scalable systems.
  • Extensive experience implementing Data Warehouse (Star/Snowflake schemas) using SQL Server or equivalent.
  • Cloud infrastructure (Google Cloud Platform, AWS, Azure, etc).
  • Mature engineering practices (CI/CD, testing, secure coding, etc).
  • Software Development Lifecycle (SDLC) best practices, software development methodologies (Agile, Scrum, LEAN etc), DevOps practices.
  • Background and drug screen.
Preferred Qualifications
  • MS or BSc in Computer Science, Management Information Systems, or related field.
  • Database platforms (Oracle, SQL Server, Redshift) with performance aspects and replication.
  • Computer language experience (Python, Pyspark, Scala).
  • Modern data pipelines using AWS technologies (S3, Kinesis, Glue).
  • Data solutions with monitoring/alerting and cloud-based observability tools.
  • Real-time payment networks.
  • FinTech experience.
Physical Requirements

Working conditions consist of a normal office environment. Work is primarily sedentary, requiring extensive use of a computer and 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.

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

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