Software Engineer- 8-10 years of experience in Data Warehousing (DWH) with expertise in cloud data platforms and database

Reposted 11 Hours Ago
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2 Locations
In-Office
Senior level
Cloud • Information Technology • Internet of Things • Professional Services • Software
The Role
Design, develop, and maintain scalable cloud data pipelines and platforms (ETL/streaming) using Snowflake, Informatica/DBT and Kafka. Lead POCs, enable AI-driven analytics, ensure data quality/governance, support portals, and collaborate cross-functionally to deliver reliable data models and consumption layers.
Summary Generated by Built In

Meet the Team 

Join the Cisco IT Data team, where we are passionate about leveraging technology and AI to deliver impactful business outcomes. Our highly collaborative and innovative team delivers robust end-to-end platforms and services, enabling a variety of competitive Sales insights & solutions including financial management reporting for Cisco. We cultivate a creative, fun, and supportive culture where you are encouraged to explore new ideas and drive meaningful impact. 

 

 

Your Impact 

As a Software engineer technical leader, you will design, develop, and maintain scalable data processing platforms supporting Corporate Functional Data IT. You will collaborate closely with data analysts, engineers, and key partners to ensure unified data availability, quality, and accuracy across the organization. You will lead the development and optimization of multiple data pipelines, integrate advanced technology for faster insights, and serve as a go-to expert for data analytics and modeling. Your work will directly influence business-critical decision-making and innovation. 

Key Responsibilities 

  • Deep understanding and maintenance of data pipelines: Architect and stabilize transactional data pipelines for the Cisco IT Data team using a unified ingestion framework. 

  • Data consumption pipelines: Build and optimize pipelines for analytical reporting, self-service reporting, and data virtualization models tailored to consumer needs. 

  • Technical proof-of-concept: Lead POCs with emerging technologies to enhance analytics platforms, ensuring efficiency and alignment with business metrics and canonical data models. 

  • AI-driven insights: Define and implement AI/ML use cases (e.g., NLP to SQL conversational agents) to deliver actionable insights and accelerate business growth. 

  • Platform enablement: Empower and support multiple Corporate Functional portals (Customer Portal, Partner Portal, etc.) through scalable data analytics platforms. 

  • Data quality & governance: Ensure high data quality, consistency, and adherence to governance and security best practices. 

  • Collaboration: Work cross-functionally with analytics, engineering, and business teams to deliver end-to-end solutions. 

Minimum Qualifications 

  • Bachelor’s degree in engineering, Technology, or a related field. 

  • 8-10 years of experience in Data Warehousing (DWH) with strong understanding of ETL processes and tools. 

  • Expertise in cloud data platforms and database technologies: Snowflake etc. 

  • Strong experience with ETL tools: Informatica, DBT

  • Proficiency with any data quality & observability tools: Snowflake DMF

  • Experience with data streaming technologies: Kafka 

  • Hands-on scripting and programming skills: Unix shell Script, Python, SQL

  • Experience in Enterprise AI integrations: MCP Server, RAG

  • Experience in data modeling, designing database structures, and enabling varied data consumption models (virtualization, reporting, etc.). 

  • Proven ability to build, optimize, and maintain efficient, reusable, and reliable data pipelines. 

  • Familiarity with Git, CI/CD pipelines, and Agile development methodologies.

  • Good understanding of object-oriented programming, data structures, and algorithms.

  • Knowledge of REST APIs, microservices architecture, and system integration.

  • Experience with Docker, Kubernetes, and DevOps practices. 

Preferred Qualifications 

  • Experience with real-time data and stream processing systems. 

  • Familiarity with data visualization tools and techniques. 

  • Solid knowledge of data governance, security, and compliance practices.

  • Exposure to AI/ML frameworks and technologies in the data domain (LLMs, predictive/prescriptive analytics, etc.). 

  • Experience working in agile teams; SAFe Agilist certification is a plus. 

  • Good team player, Strong communication skills and ability to lead technical initiatives. 

Why Cisco? 

At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations 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. 

Skills Required

  • Bachelor's degree in Engineering, Technology, or related field
  • 8-10 years experience in Data Warehousing (DWH) with strong understanding of ETL processes and tools
  • Expertise in cloud data platforms and database technologies (Snowflake)
  • Experience with ETL tools: Informatica, DBT
  • Proficiency with data quality & observability tools: Snowflake DMF
  • Experience with data streaming technologies: Kafka
  • Scripting and programming: Unix shell Script, Python, SQL
  • Experience in Enterprise AI integrations: MCP Server, RAG
  • Experience in data modeling and designing database structures for varied consumption models
  • Proven ability to build, optimize, and maintain efficient, reusable, reliable data pipelines
  • Familiarity with Git, CI/CD pipelines, and Agile development methodologies
  • Good understanding of object-oriented programming, data structures, and algorithms
  • Knowledge of REST APIs, microservices architecture, and system integration
  • Experience with Docker, Kubernetes, and DevOps practices
  • Experience with real-time data and stream processing systems
  • Familiarity with data visualization tools and techniques
  • Solid knowledge of data governance, security, and compliance practices
  • Exposure to AI/ML frameworks and technologies in the data domain (LLMs, predictive/prescriptive analytics)
  • Experience working in agile teams; SAFe Agilist certification is a plus
  • Strong communication skills and ability to lead technical initiatives

Cisco Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cisco and has not been reviewed or approved by Cisco.

  • Healthcare Strength Comprehensive medical, dental, and vision coverage, mental health support via an EAP, and access to on-site or virtual health centers indicate robust healthcare offerings. Wellness programs, fitness resources, and specialized services further reinforce coverage depth.
  • Leave & Time Off Breadth Generous PTO, a global minimum for paid parental leave, and unique programs like company-wide recharge days and paid volunteer time expand time-away options. Additional offerings such as Critical Time Off and adoption assistance add flexibility for life events.
  • Equity Value & Accessibility Restricted stock units and a discounted employee stock purchase plan are meaningful elements of total compensation. The prominence of equity can materially augment overall pay packages alongside salary and bonuses.

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The Company
HQ: San Jose, CA
77,500 Employees
Year Founded: 1984

What We Do

Cisco (NASDAQ: CSCO) enables people to make powerful connections--whether in business, education, philanthropy, or creativity. Cisco hardware, software, and service offerings are used to create the Internet solutions that make networks possible--providing easy access to information anywhere, at any time. Cisco was founded in 1984 by a small group of computer scientists from Stanford University. Since the company's inception, Cisco engineers have been leaders in the development of Internet Protocol (IP)-based networking technologies. Today, with more than 71,000 employees worldwide, this tradition of innovation continues with industry-leading products and solutions in the company's core development areas of routing and switching, as well as in advanced technologies such as home networking, IP telephony, optical networking, security, storage area networking, and wireless technology. In addition to its products, Cisco provides a broad range of service offerings, including technical support and advanced services. Cisco sells its products and services, both directly through its own sales force as well as through its channel partners, to large enterprises, commercial businesses, service providers, and consumers.

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