This role pays more than
77%
of similar roles. Most pay
$174,600–$233,450
— the shaded band above.
At the midpoint, this role pays about
$242k
versus about
$204k
for comparable roles.
Based on 240 similar postings.
Employer
About Early Warning Services
Early Warning Services is a fintech company that operates the Zelle person-to-person payments network, the Paze digital checkout wallet, and Certos fraud prevention and identity risk solutions for financial institutions.
Early Warning Services currently has
52 open roles
on FindRole.
Listed pay typically runs
$149,000–$186,000
across 49 roles with salary data.
Principal Engineer – Data Platforms
The Principal Engineer joins the data engineering team to shape the architecture and technical direction for enterprise data platforms and products. This role involves leading the modernization of legacy capabilities into cloud-based architectures, establishing scalable patterns for data ingestion, transformation, modeling, and governance. The individual will partner with cross-functional teams to translate product needs into technical roadmaps while remaining hands-on in prototyping, validating architectural designs, and solving complex technical challenges. Key technologies include Databricks, Spark/PySpark, Kafka, Snowflake, cloud object storage, relational and NoSQL databases, and Python. The role requires expertise in AWS, Azure, or GCP environments, along with experience in CI/CD pipelines and automated testing. This position addresses the challenge of building robust data products within a high-volume, regulated financial services environment to ensure secure and reliable transaction processing.
What does a Engineer earn in California?
Median $212200 from 95 postings across 28 companies.
Design and oversee architecture for enterprise data platforms, including ingestion, transformation, modeling, and governance.
Develop technical roadmaps and transition architectures to modernize legacy systems into cloud-based environments.
Establish reusable engineering patterns, data contracts, and architectural standards across multiple engineering teams.
Translate product strategy and business requirements into actionable data capabilities and technology roadmaps.
Serve as a subject matter expert in distributed processing, data modeling, and high-volume fintech data environments.
Perform hands-on technical work including prototyping, evaluating technologies, and resolving complex engineering challenges.
Mentor engineers and lead cross-functional teams to ensure solutions meet security, scalability, and quality standards.
Conduct architecture reviews and technical presentations for both internal stakeholders and leadership audiences.
What we're looking for
Candidates must possess eligibility to work in the United States for any employer at the date of hire.
Bachelor’s degree in Computer Science or a related technical field is typically required.
Advanced degree in Computer Science, Engineering, or a related technical field (preferred).
Typically requires 15 years of experience or a portfolio consistent with the requirements of the role.
At least 8 years of experience in the FinTech domain is required.
Experience designing and developing modern data platforms using technologies like Databricks, Spark/PySpark, Kafka, Snowflake, Python, or similar tools.
Proven track record of leading cross-functional teams and major technical initiatives to deliver complex technology solutions.
Experience with cloud platforms (AWS, Azure, or GCP), CI/CD pipelines, and modern software development methodologies like Agile or Scrum.