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About the Role
This Principal Engineer position is responsible for shaping the architecture and engineering direction for enterprise data platforms and data products. The role provides technical leadership across Data Exchange, Enterprise Data Products, data engineering, and cloud data platform capabilities, establishing scalable approaches for data ingestion, transformation, modeling, quality, governance, and consumption. The Principal Engineer partners across Product, Engineering, Architecture, Security, and Data teams to translate business and product needs into pragmatic target and transition architectures. The role leads modernization of legacy data capabilities, enables reusable and governed data products, and remains hands-on in validating architectural patterns, solving complex technical problems, and accelerating engineering delivery.
Responsibilities
- Owns technical product design and architecture for enterprise data platforms, Data Exchange, Enterprise Data Products, data engineering, and related cloud capabilities.
- Develops and shapes departmental technical vision, including target-state and transition architectures that support incremental modernization and continuity of existing business capabilities.
- Partners with Product Management to translate product strategy and business outcomes into data capabilities, domain data products, and technology roadmaps.
- Establishes reusable engineering patterns, data contracts, domain models, integration approaches, and architectural standards across engineering teams.
- Provides technical leadership for modernization of legacy and on-premises data capabilities to cloud-based architectures, including appropriate interoperability and transition patterns.
- Collaborates with Security, Infrastructure, Cloud Platform, SRE, Data Governance, Product, and Engineering teams to ensure solutions meet scalability, resiliency, security, data quality, and operational requirements.
- Serves as a senior technical expert across data architecture, data engineering, data modeling, distributed processing, analytics, and data-product engineering, coaches and mentors engineers and technical leaders.
- Remains hands-on in evaluating technologies, prototyping, and validating architectural patterns, and resolving complex technical challenges.
- Works with internal and external customers to understand data and product needs and improve products and capabilities.
- Creates and conducts technical presentations, architecture reviews, and design reviews for engineering and leadership audiences.
- Supports the company’s commitment to risk management and protecting the integrity and confidentiality of systems and data.
Requirements
- Bachelor’s degree in Computer Science or related technical field.
- Typically has 15 years of experience or demonstrated portfolio consistent with experience required of the role, including designing and developing complex software projects and at least 8 years of experience in the FinTech domain.
- Experience leading cross-functional teams and major technical initiatives to deliver complex technology solutions.
- Proven track record designing and building complex end-to-end systems and data platforms.
- Hands-on experience designing and developing modern data platforms using technologies such as Databricks, Spark/PySpark, Kafka, Snowflake, cloud object storage, relational and NoSQL databases, Python, or comparable technologies.
- Strong understanding of modern cloud platforms such as AWS, Azure, or GCP.
- Knowledge of Software Development Lifecycle (SDLC) best practices, software development methodologies such as Agile, Scrum, and LEAN, and DevOps practices.
- Experience implementing CI/CD pipelines and working with modern code repositories, build, and deployment tooling.
- Hands-on experience with test automation across unit, component, integration, and functional testing.
- Effective communication and presentation skills, including the ability to communicate complex technical concepts to audiences across the organization.
- Background and drug screen.
- Independently possess the eligibility to work in the United States, for any employer, at the date of hire.
- Position is ineligible for employment Visa sponsorship.
Skills
- Databricks
- Spark/PySpark
- Kafka
- Snowflake
- Cloud object storage
- Relational databases
- NoSQL databases
- Python
- AWS
- Azure
- GCP
- SDLC
- Agile
- Scrum
- LEAN
- DevOps
- CI/CD pipelines
- Test automation
- Data architecture
- Data engineering
- Data modeling
- Distributed processing
- Analytics
- Data-product engineering
- Batch data ingestion
- Streaming data ingestion
- API data ingestion
- File-based data ingestion
- Layered data architectures
- Enterprise data modeling
- Domain data modeling
- Canonical models
- Data contracts
- Governed data products
- Analytical workloads
- Operational workloads
- Customer-facing workloads
- Low-latency consumption patterns
- Data quality
- Metadata
- Catalog
- Lineage
- Observability
- Data governance
- Sensitive-data protection
- Tokenization
- Encryption
- Secure data-access patterns
- Infrastructure as Code
- Kubernetes
- Container platforms
- Production-grade cloud engineering
- Technical standards definition
- AI-assisted development
Location
- Scottsdale
- San Francisco
- Chicago
- New York
Work Type
- Hybrid
Experience Level
- Principal Engineer
- 15 years of experience
- 8 years of experience in FinTech
Education Level
- Bachelor’s degree in Computer Science or related technical field
- Advanced degree in Computer Science, Engineering, or related technical field (Preferred)
Salary/Compensations
- $207,000 - $276,000 per year in New York City, NY
Benefits
- Discretionary incentive plan
- Healthcare Coverage – Competitive medical (PPO/HDHP), dental, and vision plans
- 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 – Flexible 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.
About the Company
- 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.
Equal Opportunity
- Early Warning Services is an affirmative action and equal opportunity employer.
- 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.