Engineering Manager - Data Engineering / Snowflake, Python & SQL

Job Summary

Meet the Team Join Ciscos fast-growing Product Global Transformation Management (GTM) Strategy Execution team, where you will scale critical business operations, optimize key workflows, and deliver foundational data architecture for mission-critical systems that drive our core success. As a Leader in Data Engineering, you will take ownership of designing, building, and advancing core data products and infrastructure at the center of this rapid expansion. Cisco is transforming how data and infrastructure connect and protect organizations in the AI era, empowering you to collaborate globally, experiment boldly, and deliver solutions with profound impact across both the physical and digital worlds.

Your Impact

As a Leader of the Cisco Product GTM Strategy Execution team, you will shape the future of our Licensing data ecosystem by owning the end-to-end lifecycle of our modern data platform. Through technical leadership and multi-functional collaboration, you will drive our data strategy, empower data-driven decisions, and accelerate go-to-market success.

Responsibilities

• Build and implement data engineering strategy, aligning platform architecture with business goals.
• Define enterprise standards for data ingestion, transformation, orchestration, quality, and modeling (including dimensional and Data Vault).
• Nurture a collaborative, high-performing team by mentoring engineers and championing a culture of continuous improvement, innovation, and technical excellence.
• Deliver trusted, reusable data products to support advanced analytics and AI/ML use cases.

Minimum Qualifications

We are looking for an Engineering Leader with 12+ years in software/data engineering, including 3+ years leading data engineering teams.

• Proven experience designing and building enterprise-scale data platforms with a focus on scalability, reliability, and performance.
• Strong expertise in cloud-based data platforms, including Snowflake, AWS, and/or GCP.
• Deep understanding of data architecture, data modeling, data governance, and data quality principles.
• Experience with modern data stack such as Snowflake, dbt, Airflow, SQL, and Python.
• Excellent leadership, communication, and customer management skills, with the ability to influence and collaborate across global, multi-functional teams.

Optional Skills

• Experience with AI/ML or GenAI-driven data platforms and solutions.
• Exposure to real-time data processing technologies such as Kafka and Spark.
• Experience driving large-scale data platform modernization and cloud migration initiatives.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.