Distinguished Data and Analytics Engineer
Company: Cisco Systems, Inc.
Location: San Jose
Posted on: May 23, 2025
Job Description:
Application window is expected to close on: May 30, 2025 Job
posting may be removed earlier if the position is filled or if a
sufficient number of applications are received. Meet the Team Join
our dynamic Cybersecurity CTO team-a forward-looking group at the
heart of driving security innovation, strategy, and architecture
across the organization. We operate as trusted advisors and
hands-on technologists, guiding the enterprise through complex
security challenges while shaping the future of cybersecurity
capabilities. With deep expertise in emerging threats, secure
architecture, product security, and cutting-edge technologies, we
lead initiatives that elevate security posture, streamline security
engineering, and enable business outcomes. This team plays a
critical role in aligning security with enterprise priorities,
influencing executive decision-making, and delivering scalable,
high-impact solutions that secure our global operations and
products. Your Impact You are a proven technical leader with a
passion for building robust data foundations in the cybersecurity
domain. You thrive at the intersection of data engineering,
analytics, and strategic business enablement, and you have a track
record of modernizing legacy data environments. You excel at
introducing cutting-edge data technologies that transform how
organizations leverage data for trust, security, and AI-driven
initiatives. You combine deep technical expertise with strong
leadership and communication skills, enabling you to navigate
complex, enterprise-scale challenges and influence cross-functional
stakeholders.
Define the Data Strategy: Develop and
communicate a clear vision for enterprise-wide data architecture
and analytics capabilities that support cybersecurity initiatives.
Modernize Legacy Data Projects: Lead the transformation of existing
data pipelines, data stores, and analytics frameworks, ensuring
enhanced performance, scalability, and reliability. Introduce
Modern Data Technologies: Assess, select, and implement
contemporary data platforms and tooling (e.g., cloud-based data
warehouses, streaming technologies, ML platforms) in areas that are
early in their data maturity. Establish Trust in Security Data:
Design and implement processes, governance, and controls to
maintain data integrity and verifiable trust across all
security-related data sources. Accelerate AI Initiatives: Partner
with data science and AI teams to ensure high-quality, ready-to-use
data sets that feed advanced analytics, machine learning, and AI
models in support of threat detection and broader security
objectives. Drive Cross-Functional Collaboration: Work closely with
security engineers, product teams, and leadership to align on key
strategic objectives, manage roadmaps, and ensure seamless
integration of data-driven solutions. Mentor & Develop Talent:
Build and lead a high-performing data team. Coach and mentor junior
engineers, instill data best practices, and create a culture of
continuous learning and innovation. Minimum Qualifications:
Bachelor's or Master's degree in
Computer Science, Data Science, Information Systems, or related
field (or equivalent experience). 10+ years of experience in data
engineering, data architecture, or analytics, with at least 5 years
in a leadership capacity. Proven track record of leading end-to-end
data modernization efforts and large-scale data platform
deployments. Expertise with cloud-based data platforms (AWS, Azure,
or GCP) and associated data engineering and analytics toolchains.
Familiarity with cybersecurity use cases (SIEM, SOAR, threat
detection, vulnerability management, etc.) and how data powers
these functions. Strong knowledge of data governance, data
security, compliance, and best practices around privacy. Preferred
Qualifications:
Experience partnering with data
science teams to build machine learning pipelines and
operationalize AI models. Knowledge of DevOps practices as applied
to data (DataOps), including CI/CD pipelines for data and analytics
workloads. Hands-on experience with data visualization tools (e.g.,
Tableau, Power BI) and advanced analytics platforms. Familiarity
with emerging data technologies (e.g., real-time streaming, graph
databases, unstructured data processing). Excellent program/project
management skills, with a track record of delivering complex data
initiatives on time and within budget. #WeAreCisco #WeAreCisco
where every individual brings their unique skills and perspectives
together to pursue our purpose of powering an inclusive future for
all. Our passion is connection-we celebrate our employees' diverse
set of backgrounds and focus on unlocking potential. Cisconians
often experience one company, many careers where learning and
development are encouraged and supported at every stage. Our
technology, tools, and culture pioneered hybrid work trends,
allowing all to not only give their best, but be their best. We
understand our outstanding opportunity to bring communities
together and at the heart of that is our people. One-third of
Cisconians collaborate in our 30 employee resource organizations,
called Inclusive Communities, to connect, foster belonging, learn
to be informed allies, and make a difference. Dedicated paid time
off to volunteer-80 hours each year-allows us to give back to
causes we are passionate about, and nearly 86% do! Our purpose,
driven by our people, is what makes us the worldwide leader in
technology that powers the internet. Helping our customers
reimagine their applications, secure their enterprise, transform
their infrastructure, and meet their sustainability goals is what
we do best. We ensure that every step we take is a step towards a
more inclusive future for all. Take your next step and be you, with
us!"STO25"
Keywords: Cisco Systems, Inc., Cupertino , Distinguished Data and Analytics Engineer, Engineering , San Jose, California
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