Sr. Manager Full Stack Software Engineer

** Your opportunity*
* Do you want to be part of an enterprise data solutions organization managing over 4+ petabytes of data and powering the next‑generation analytics and operational data platforms for a leading financial firm with over $10 trillion in assets under management?

At Schwab, the Operational Data Exchange (ODX) organization owns the strategy, architecture, implementation, delivery, and support of enterprise operational data platforms. These platforms are mission‑critical to the Contact Center's ongoing modernization, supporting large‑scale application transformations (e.g., movement from Genesys to NICE), increased adoption of AI‑driven capabilities, and customer experience optimization.

We are seeking a Sr. Manager in a Technical Delivery Lead capacity to provide hands‑on technical leadership across the Contact Center Data Exchange portfolio. This is a critical position and is responsible for ensuring that Contact Center data platform modernization keeps pace with application transformation and AI initiatives. The ideal candidate brings recent hands‑on engineering experience, strong architectural judgment, and the ability to communicate complex technical topics clearly to senior leadership.

** What you'll do:*
* + Own end‑to‑end technical delivery for Contact Center operational data platforms, ensuring reliability, scalability, and alignment with evolving business priorities.

+ Provide technical leadership for the modernization of Contact Center data architecture, supporting application migrations, AI‑driven capabilities, and real‑time operational data use cases.

+ Lead theOracle

DBmigration from on‑prem to GCP, driving cloud‑native design, resilience, performance optimization, and cost efficiency.

+ Design and oversee scalable batch and streaming data pipelines using Java, Spring, Kafka‑based technologies, and GCP native services (Cloud Run, GKE, Cloud Functions, Pub/Sub, Cloud SQL, Cloud Storage).

+ Establish and enforce engineering best practices for coding standards, CI/CD, data quality, reliability, security, and observability.

+ Maintain hands‑on involvement in solution design and complex problem‑solving while providing technical direction to engineers across onshore and offshore teams.

+ Partner closely with Contact Center business leaders, platform teams, and upstream application owners to define data contracts, integration patterns, and delivery roadmaps.

+ Act as a technical liaison to senior leadership, clearly communicating risks, tradeoffs, modernization progress, and platform health.

+ Proactively identify and mitigate technical debt, delivery risks, and scalability constraints that could impact AI enablement or customer experience outcomes.

+ Support production operations by driving root‑cause analysis, improving platform stability, and reducing incident recurrence through architectural improvements.

+ Lead, coach, and develop engineering managers and senior engineers, fostering a culture of accountability, inclusion, and continuous improvement.

+ Own talent strategy for the Contact Center Data Exchange domain, including hiring, onboarding, performance management, career development, and succession planning.

+ Set clear expectations and goals for teams, aligning individual development plans with organizational outcomes and delivery commitments.

+ Build sustainable delivery capacity by strengthening leadership bench, improving execution predictability, and promoting strong team ownership across the portfolio.

** What you have*
* + 15+ years of recent, hands‑on software engineering experience, with a strong focus on data engineering, APIs, and distributed systems.

+ 5+ years of technical leadership experience, owning delivery for complex, business‑critical platforms.

+ 5+ years of people leadership experience, leading multiple cross‑functional engineering teams.

+ Deep expertise with Java, Spring (Boot/Batch), REST APIs, Microservices, and SQL.

+ Strong public cloud experience (3+ years), with preference for GCP and cloud‑native architecture patterns.

+ Hands‑on experience with streaming technologies such as Kafka, Pub/Sub, Kinesis, or Rabbit

MQ.

+ Proven experience leading large‑scale…