Responsibilities
Lead complex exploratory data analysis initiatives to identify strategic trends and patterns within structured and unstructured datasets, informing architectural decisions.
Drive the translation of highly complex business requirements into strategic, scalable, and resilient data solutions, integrating insights from diverse non-ERP sources with our Enterprise Data Warehouse (EDW).
Architect, design, and oversee the development and optimization of highly scalable ELT/ETL pipelines to ingest, transform, and publish data into the Snowflake Data Cloud, ensuring performance and reliability.
Define standards for, and oversee the development and maintenance of, high-quality, analytics-ready data models using dbt, emphasizing modular design, reusability, rigorous testing, and CI/CD integration.
Lead the design and implementation of a reusable semantic layer that adheres to enterprise architectural standards and supports diverse, high-volume consumption patterns (AI, agentic solutions, dashboards).
Drive the integration of Snowflake Cortex and other AI/LLM capabilities directly into data pipelines, enabling advanced analytics and intelligent automation.
Lead the design and development of advanced data consumption layers, including sophisticated dashboards, reports, conversational analytics, and agentic solutions.
Applies working knowledge of databases, relational databases, cloud services, and scripting languages
Contributes to data quality and compliance, including cleansing and scrubbing of data, data integrations and data quality framework
Establish and champion best practices for data quality, observability, lineage, governance, and access control across our AI-ready data architecture, ensuring data trust and compliance.
Serve as a technical liaison, collaborating strategically with data architects, analysts, and business stakeholders to define and execute long-term data strategies and roadmaps. Work in partnership and guidance from the core team at onsite
Drive the establishment and continuous improvement of technical governance, CI/CD best practices, and rigorous version control standards to ensure the integrity, security, and scalability of our modern data stack.
Experience with cloud-native services for data processing and orchestration (e.g., AWS Glue, Lambda, Step Functions, GCP Dataflow, Cloud Composer).
Demonstrated experience applying Agile, Scrum, or Kanban methodologies within a data engineering environment.
A self-starter with proven expertise to deliver outcomes with minimal supervision
Provide technical guidance and mentorship to junior data engineers, fostering a culture of excellence and continuous learning.
Minimum Qualifications
Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field, or equivalent practical experience.
8+ years of progressive experience in data engineering, with a proven track record in architecting and leading cloud data warehousing and modern data platform implementations.
4+ years of experience leading or architecting AI and agentic solutions, specifically on platforms like Snowflake, AWS, or GCP.
Expert-level proficiency and architectural leadership with the Snowflake Data Cloud, encompassing its advanced features, security model, and operational best practices.
Expert-level proficiency and strategic application of dbt (Data Build Tool) for designing, developing, and maintaining complex data models, including automated testing and CI/CD integration.
Mastery in SQL and Python, with a focus on scalable data processing, automation, and API integration.
Extensive experience (7+ years) with leading BI/reporting tools such as Sigma or Power BI, with a deep understanding of data visualization best practices.
Preferred Qualifications
Demonstrated expertise in implementing and managing data quality, observability, and lineage frameworks and tools across enterprise data pipelines.
Deep architectural understanding and practical application of advanced Snowflake capabilities (e.g., zero-copy cloning, secure data sharing, external tables, Snowpark, dynamic tables, MCP gateways).
Proven track record in defining and implementing enterprise-level data and solution architectures, including experience with data mesh or data fabric principles.
Comprehensive understanding of the broader analytics ecosystem, including diverse BI/reporting tools (e.g., Tableau, ThoughtSpot) and complex downstream consumption patterns.
Previous experience guiding technical teams and presenting complex technical concepts to senior leadership.Snowflake Gen AI certification preferred
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.
Disclaimer
To ensure that we hire the best talent in the right way, we follow a strict hiring process and recently, Cisco has been made aware of fraudulent recruiters claiming to be from the company. Please be advised that any communication from Cisco about careers will:
be in direct response to an application you have submitted through the company career site
begin with screening or an interview
originate from a Cisco email address, and
be conducted across email, phone, or WebEx
Cisco will never make a job offer without conducting an interview process or ask you for money in any way. If you have been requested to apply for a role or have received an offer from a site other than https://careers.cisco.com or cisco.wd5.myworkday.com, do not provide any personal identifying information, including your Aadhaar or other personal identifying number, birth certificate, banking information, driver's license, or passport.
If you are the target of a recruiting scam, consider filing a report with your local law enforcement authorities. Cisco bears no responsibility, and cannot be held liable, for any claims, damages, expenses, or other inconvenience resulting from or in any way connected to recruiting scams.
