Staff Engineer - Data Platform - AWS

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

A Staff Data Platform Engineer formulates strategy for our data platform roadmap, works with the team to deliver on the planned roadmap utilizing automation to help build and maintain highly resilient and performant distributed data and middleware infrastructure. Architects, designs, develops, documents, tests, and debugs infrastructure automation code to build, maintain, and support infrastructure for our data and middleware platforms. Acts as a technical leader on the team, collaborates closely with the Architecture and other cross functional teams to ensure that the platform continues powering Early Warning products.

Essential Functions:

• Develops a data platform infrastructure strategy that tackles large, open-ended problems using forward-thinking approaches.
• Leads the architecture, design, prototyping, and implementation of data platform infrastructure, aligning with company’s technology strategy.
• Leads and collaborates effectively with other members of the team to deliver on the team’s backlog and ensure resilient data infrastructure. 
• Represents the data platform infrastructure team in cross-functional discussions, effectively presenting and defending technical solutions.
• Collaborates with stakeholders to capture requirements, provide updates, and manage risks or issues.
• Leads the creation and execution of a prioritized story backlog from design through production delivery, ensuring seamless execution.
• Ensures high availability, security, scalability, and resilience of data infrastructure, while optimizing performance, costs, and resource utilization.
• Owns observability, monitoring, and alerting to maintain platform health.
• Responsible for root cause analysis on incidents, ensuring a customer-first mindset in resolving issues.
• Implements and maintains policies, standards, and processes, ensuring compliance with regulatory and fiduciary requirements.
• Fosters a diverse, inclusive, and collaborative work environment, mentoring junior engineers and promoting best practices.
• Stays updated on industry trends, including IaC, cloud technologies, and distributed data infrastructure, leveraging training and proof of concepts to drive innovation.
• Supports the company’s commitment to risk management and protecting the integrity and confidentiality of systems and data.
• This above job description is not intended to be an all-inclusive list of duties and standards of the position. Incumbents will follow instructions and perform other related duties as assigned by their supervisor.

Minimum Qualifications

• Education or experience typically obtained through completion of a Bachelor’s degree in Computer Science, Computer Engineering, Information Systems, or related fields or equivalent professional experience.
• Minimum 10 or more years of relevant industry experience.
• Proven experience in designing, building, and managing data infrastructure using Infrastructure as Code (Iac) tools (e.g., Terraform, Ansible).
• Strong understanding of both on-premises and cloud infrastructure, particularly AWS.
• Proficiency in administering at least one NoSQL database, such as Aerospike, HBase, Amazon RedShift.
• Knowledge of data platforms and technologies, including Hadoop, Hbase, SOLR, Spark, and Kafka.
• Familiarity with monitoring tools and observability frameworks to ensure data infrastructure health and performance.
• Familiarity with CI/CD pipelines and version control systems such as Harness and Git.
• AWS Cloud Platform certification
• Strong problem-solving skills, attention to detail, and ability to work in collaborative environment.
• Strong commitment to risk management, security, and compliance.
• Ability to use critical thinking and leverage relationships to influence decisions.
• Background and drug screen.

Preferred Qualifications