Data Engineering Manager
Data Engineering Manager
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1 Vacancy
Job Description
About Netskope
Today theres more data and users outside the enterprise than inside causing the network perimeter as we know it to dissolve. We realized a new perimeter was needed one that is built in the cloud and follows and protects data wherever it goes so we started Netskope to redefine Cloud Network and Data Security.
Since 2012 we have built the market-leading cloud security company and an award-winning culture powered by hundreds of employees spread across offices in Santa Clara St. Louis Bangalore London Paris Melbourne Taipei and Tokyo. Our core values are openness honesty and transparency and we purposely developed our open desk layouts and large meeting spaces to support and promote partnerships collaboration and teamwork. From catered lunches and office celebrations to employee recognition events and social professional groups such as the Awesome Women of Netskope (AWON) we strive to keep work fun supportive and interactive.Visit us atNetskope Careers. Please follow us on LinkedIn and Twitter@Netskope.
Position Summary
We are seeking a highly skilled and experienced Data Engineering Manager to be the Data Operations Chapter this role you will build lead and mentor a team of data engineers devops engineers data analysts BI analysts and other associated roles to design build and maintain robust data pipelines infrastructure and visualizations that power our analytics and operational systems.
This is a hands-on role and you will be an integral part of the development team building data architecture and workflows optimizing data pipelines and implementing best practices for data management. This role requires strong expertise in modern data engineering technologies cloud platforms and a deep understanding of data governance security and compliance.
Key Responsibilities
- Lead mentor and inspire a team of data engineers fostering professional growth and collaboration.
- Work closely with Product Owners stakeholders and engineering teams to define requirements and set priorities.
- Actively engage in Agile ceremonies to ensure team alignment and successful project execution.
- Drive process tool and workflow enhancements to optimize team performance.
- Design build and maintain scalable data pipelines for batch and real-time processing.
- Architect and implement solutions like data lakes warehouses and real-time streaming systems.
- Optimize cloud-based data infrastructure (e.g. AWS Azure GCP) for performance reliability cost-efficiency and security.
- Ensure data quality consistency and compliance through governance automated testing and monitoring.
- Refactor legacy pipelines and integrate CI/CD frameworks to automate workflows.
- Partner with stakeholders data scientists and analysts to align data solutions with business goals.
- Troubleshoot debug and resolve complex data issues to ensure operational excellence.
- Evaluate and integrate new technologies to stay current with industry trends and enhance capabilities.
Qualifications
Required:
- Bachelors degree in Computer Science Data Engineering or a related field (or equivalent experience).
- 7 years of experience in data engineering or related roles focusing on building and optimizing data pipelines and architectures.
- 2 years of experience in a team lead or manager position.
- Proficiency in Python Java or Scala along with strong SQL skills.
- Hands-on experience with AWS Azure or GCP and data services like S3 Redshift BigQuery Databricks or Snowflake.
- Strong knowledge of data integration platforms and ETL/ELT frameworks such as Apache Airflow dbt Fivetran or Stitch.
- Experience with distributed data processing technologies like Apache Spark Kafka or Hadoop.
- Solid understanding of data modeling techniques for structured and unstructured data.
- Familiarity with data governance and compliance standards including GDPR and CCPA.
- Excellent problem-solving abilities to troubleshoot and resolve complex data issues.
- Strong communication and collaboration skills to work effectively with cross-functional teams.
- Proven track record of leading or managing engineering teams and delivering complex projects.
- Deep understanding of CI/CD frameworks and processes for data pipelines.
- Fluent in English
Preferred:
- Masters degree in Computer Science Data Engineering or a related field.
- Experience with data versioning orchestration and CI/CD for data pipelines.
- Knowledge of machine learning workflows and integrating data pipelines with ML models.
- Familiarity with data visualization tools (e.g. Tableau Power BI Looker).
- Certifications in relevant technologies such as AWS Certified Data Analytics or Google Cloud Professional Data Engineer.
About You
You are a detail-oriented innovative and self-driven professional with a passion for building scalable data solutions. You thrive in a collaborative environment leveraging your expertise to solve complex data challenges and drive impactful outcomes. With a deep understanding of modern data technologies you are committed to delivering high-quality reliable and efficient data infrastructure that supports business goals.
Netskope is committed to implementing equal employment opportunities for all employees and applicants for employment. Netskope does not discriminate in employment opportunities or practices based on religion race color sex marital or veteran statues age national origin ancestry physical or mental disability medical condition sexual orientation gender identity/expression genetic information pregnancy (including childbirth lactation and related medical conditions) or any other characteristic protected by the laws or regulations of any jurisdiction in which we operate.
Netskope respects your privacy and is committed to protecting the personal information you share with us please refer toNetskopes Privacy Policyfor more details.
Required Experience:
Manager
Employment Type
Full Time
