Principal Software Engineer

Role Overview

• Lead architecture and solution design for complex data products, platforms, and cross-team initiatives, ensuring scalable, secure, and resilient systems
• Act as the senior technical authority for high-impact, ambiguous challenges involving data platforms, analytics, governance, and monetization capabilities
• Drive the design and evolution of reusable data products, platform services, APIs, and shared capabilities that can be leveraged across customers and business domains
• Establish and champion engineering standards, data contracts, governance practices, observability, and operational excellence across the ecosystem
• Contribute directly to critical work, including architecture, prototyping, design reviews, complex troubleshooting, and technical problem solving
• Align technical direction across teams to reduce duplication, increase reuse, and strengthen platform consistency and scalability
• Partner with engineering, product, operations, and business leaders to align technology investments with strategic business outcomes
• Drive improvements in data quality, lineage, traceability, governance, and trust across the data lifecycle
• Evaluate technical tradeoffs through the lens of customer value, adoption, scalability, maintainability, and cost efficiency
• Operate as a force multiplier by improving engineering effectiveness, platform maturity, and delivery velocity across teams
• Represent engineering in cross-functional and executive discussions, influencing decisions that shape product and platform strategy
• Mentor senior engineers and help develop the next generation of technical leaders and architects
• Support hiring and leveling decisions and contribute to building strong engineering talent and technical culture

Requirements

• 10+ years of experience in software engineering, architecture, distributed systems, and large-scale platform development
• Proven ability to lead complex, cross-team initiatives and deliver enterprise-scale solutions
• Strong problem-solving skills with demonstrated success navigating ambiguity and organizational complexity
• Experience designing and operating large-scale data platforms, analytics systems, or customer-facing data products
• Demonstrated success establishing engineering standards, governance practices, and technical direction across multiple teams
• Experience driving adoption of reusable platforms, services, APIs, or data products
• Experience applying AI, machine learning, and advanced analytics technologies to create new business capabilities, improve decision-making, and accelerate data product innovation
• Familiarity with modern AI ecosystems, including LLMs, semantic search, vector databases, agent frameworks, and enterprise AI governance practices.
• Bachelor's degree in Computer Science or related field

Tech Stack

• Distributed Systems

Benefits

• Health insurance
• 401(k)
• Company paid life insurance
• Tuition reimbursement
• Minimum of 18 days of paid time off per year
• Paid holidays
• Leaves of absence