Data Engineering Technical Leader - CX AI

020 Cisco Systems, Inc.; San Jose (CA); On-site; USD 187,000 - 268,000; Full time

Benefits offered by this job

Medical, dental and vision insurance

401(k) with Cisco matching

Paid time off and holidays

Employee stock plan

Job summary

Cisco Systems, Inc. seeks a senior data platform architect to own cloud-native data platforms enabling real-time CX analytics. You will lead backend services, lakehouse design, and data pipelines end-to-end while setting governance and observability standards.

You will mentor engineers, drive CI/CD automation, and align technical work with business priorities across CX platforms in a fast‑growing environment.

Qualifications

• 8+ years in data engineering or platform architecture.
• Strong Python and SQL experience for data pipelines.
• Backend development in Go/Java/Node.js/Rust.
• Experience with REST/GraphQL APIs and relational/noSQL databases.
• Experience with distributed messaging and streaming systems like Kafka or AWS SQS/SNS.
• Experience with modern lakehouse/warehouse tech (Snowflake, Databricks, BigQuery, Redshift).
• CI/CD pipelines using Jenkins or GitHub Actions and containerised deployments.

Responsibilities

• Architect, build, and optimise scalable cloud-native data platforms for real-time analytics.
• Design batch and streaming ETL/ELT pipelines with CDC and lakehouse architectures.
• Establish data modelling, governance, and observability standards for reliability.
• Define high-performance API contracts (REST, GraphQL) for data assets and metrics.
• Mentor engineers, conduct reviews, and coordinate cross-team dependencies.

Skills

Python

SQL

Go

Java

Node.js

Rust

Education

Bachelor's degree in Computer Science

Tools

Snowflake

Databricks

BigQuery

AWS Redshift

Jenkins

GitHub Actions

Job description

Meet the Team

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.

Your Impact

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 organisational standards for data modelling, streaming, and observability while mentoring engineering pods and aligning technical execution with strategic business priorities.

Key Responsibilities

• Data Platform Architecture: Architect, build, and optimise scalable cloud‑native backend services and data platforms supporting high‑throughput ingestion, real‑time analytics, and downstream AI/ML consumption.
• Pipeline & Lakehouse Engineering: 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).
• Data Quality & Observability: Establish enterprise‑grade standards for data modelling, semantic layers, schema governance, distributed tracing, and real‑time telemetry/alerting to ensure high data integrity and reliability.
• API & Service Integration: Define high‑performance API contracts (REST, GraphQL) and backend microservices that expose trusted datasets and metrics for self‑service reporting and AI applications.
• Technical Leadership & Governance: 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.

Minimum Qualifications

• 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 optimising 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 containerised deployments.

Preferred Qualifications

• 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 modelling, 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.

Why Cisco?

At Cisco, we’re revolutionising how data and infrastructure connect and protect organisations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you.

Compensation & Benefits

The starting salary range posted for this position is $186,900.00 to $267,700.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate’s hiring location, market conditions, job‑related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process.

• U.S. employees are offered benefits, subject to Cisco’s plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long‑term disability coverage, and basic life insurance.
• Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time.
• U.S. employees are eligible for paid time away as described below, subject to Cisco’s policies: 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.
• Non‑exempt employees receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full‑time employees.
• Exempt employees participate in Cisco’s flexible vacation time off programme, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations).
• 80 hours of sick time off provided on hire date and each January1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next.
• Additional paid time away may be requested to deal with critical or emergency issues for family members.
• Optional 10 paid days per full calendar year to volunteer.
• For non‑sales roles, employees are also eligible to earn annual bonuses subject to Cisco’s policies.
• Employees on sales plans earn performance‑based incentive pay on top of their base salary, which is split between quota and non‑quota components, subject to the applicable Cisco plan.
• For quota‑based incentive pay, Cisco typically pays as follows: .75% of incentive target for each1% of revenue attainment up to 50% of quota; 1.5% of incentive target for each1% of attainment between 50% and 75%; 1% of incentive target for each1% of attainment between 75% and 100%; and Once performance exceeds100% attainment, incentive rates are at or above1% for each1% of attainment with no cap on incentive compensation.
• For non‑quota‑based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target.
• Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.
• The applicable full salary ranges for this position, by specific state, are listed below:
  NewYorkCityMetroArea: $186,900.00-$307,800.00
  Non‑Metro NewYork state& Washington state: $166,300.00-$274,100.00
  * For quota‑based sales roles on Cisco’s sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined.
  ** Employees in Illinois, whether exempt or non‑exempt, will participate in a unique time off programme to meet local requirements.

Company Culture

Cisconians power the future. We make impact as a team, innovating fast and fearlessly to create meaningful solutions on a large scale. The depth and breadth of our technology doesn’t just benefit our customers – it also means limitless opportunities for us to experiment and learn. We understand the power each of our unique backgrounds bring when we work together. Because of that, we have a global network of thinkers, doers, experts, and curious creators who help one another do their life’s best work.