Data Engineering Technical Leader - CX AI
About The Position
Cisco's Customer Experience (CX) organization is a high-growth, innovation-driven team focused on delivering a unified digital experience for customers and partners. The CX Platform enables diverse CX use cases through modern cloud-native architecture and emerging AI capabilities, including predictive and generative AI. Our team builds scalable, reliable platforms that accelerate customer outcomes, with a strong focus on quality, urgency, ownership, and data-driven decision making. You will be the architectural and technical authority driving our next-generation cloud-native data platform. Operating as a hands-on builder and leader, you will own distributed data pipelines, lakehouse architectures, and backend services end-to-end—powering real-time CX analytics and AI-ready data foundations. You will establish organizational standards for data modeling, streaming, and observability while mentoring engineering pods and aligning technical execution with strategic business priorities.
Requirements
- Bachelor’s degree with 8+ years of related experience, or a Masters degree with 6+ years of related experience.
- Experience in Python and SQL for data engineering, automation, and transformation, along with backend development experience in languages such as Go, Java, Node.js, or Rust.
- Experience designing REST or GraphQL APIs, with experience in relational PostgreSQL, MySQL and/or NoSQL databases.
- Experience implementing distributed messaging and streaming systems using Apache Kafka, AWS SQS/SNS, or comparable technologies.
- Experience building and optimizing data platforms using modern lakehouse/warehouse technologies such as Snowflake, Databricks, BigQuery, or AWS Redshift or similar.
- Experience building, maintaining, and troubleshooting automated CI/CD pipelines using Jenkins, GitHub Actions or similar and containerized deployments.
Nice To Haves
- Expertise in large-scale data ingestion architectures, Change Data Capture (CDC), and multi-source ETL/ELT across APIs, databases, event streams, and object storage (S3/GCS).
- Experience structuring semantic models and feature stores to support data science, predictive modeling, and generative AI/LLM applications.
- Experience implementing end-to-end data observability, lineage tracking, and monitoring frameworks (e.g., OpenTelemetry, Datadog, Prometheus).
- Familiarity leveraging AI-assisted development tools (Copilot, Cursor) and AIOps practices to accelerate development velocity and reliability.
- Demonstrated track record of technical mentorship, driving architectural consensus across matrixed teams, and translating business goals into robust engineering roadmaps.
Responsibilities
- Architect, build, and optimize scalable cloud-native backend services and data platforms supporting high-throughput ingestion, real-time analytics, and downstream AI/ML consumption.
- Design robust batch and streaming ETL/ELT pipelines, implementing event-driven data flows, Change Data Capture (CDC), and modern lakehouse architectures (e.g., Snowflake, Databricks).
- Establish enterprise-grade standards for data modeling, semantic layers, schema governance, distributed tracing, and real-time telemetry/alerting to ensure high data integrity and reliability.
- Define high-performance API contracts (REST, GraphQL) and backend microservices that expose trusted datasets and metrics for self-service reporting and AI applications.
- Drive CI/CD automation, conduct code and design reviews, mentor senior and mid-level data engineers, and coordinate cross-team technical dependencies across platform, security, and product stakeholders.
Benefits
- medical, dental and vision insurance
- a 401(k) plan with a Cisco matching contribution
- paid parental leave
- short and long-term disability coverage
- basic life insurance
- 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees
- 1 paid day off for employee’s birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco
- 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees (non-exempt)
- flexible vacation time off program (exempt)
- 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next
- Optional 10 paid days per full calendar year to volunteer
- annual bonuses (non-sales roles)
- performance-based incentive pay (sales roles)
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
