A remote role at CrowdStrike.
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Original listing text, shown exactly as published by the company.
We are seeking an experienced Sr., Data Pipeline Engineer to be part of a global team of data engineers responsible for building, scaling, and optimizing modern data ingestion and processing pipelines. This position will play a critical role in integrating a variety of data sources, enabling analytics and AI-driven insights, and ensuring the scalability and reliability of our enterprise data platform.
The ideal candidate will bring deep technical expertise, strong people leadership across global teams, and a proven ability to operate in a high-growth, fast-paced SaaS environment.
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Collaborate with a global team of data engineers, fostering coordination across time zones and driving operational excellence.
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Architect and oversee large-scale data ingestion and transformation pipelines using Airflow, DBT, Python, Kafka streaming, and Snowflake.
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Design and implement real-time and batch ingestion frameworks integrating data from various business systems and APIs.
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Manage data integration and transformation from enterprise systems such as Salesforce (SFDC), NetSuite, Workday, and other core business applications.
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Drive data quality, observability and reliability across pipelines through monitoring, alerting, and proactive issue resolution.
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Collaborate with data science and product teams to support AI assistance bot integration, AI/ML workflows, and product telemetry analytics.
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Ensure engineering excellence by aligning data practices with DevOps principles, CI/CD automation, and robust data governance standards.
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Oversee multiple projects simultaneously, managing priorities, and delivery timelines in a dynamic, high-velocity environment.
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Communicate effectively with business and technical stakeholders to align data engineering initiatives with strategic organizational goals.
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12+ years of experience in designing and building scalable Data Pipelines..
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Demonstrated success working with distributed analytics and BI teams across multiple time zones.
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Proven expertise with Airflow, DBT, Python, Kafka streaming, and Snowflake, including proficiency in advanced SQL for complex transformations, performance tuning.
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Deep experience in API & file-based data ingestion, real-time streaming, and data pipeline orchestration at scale.
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Hands-on experience with data integration from SFDC, NetSuite, Workday, and similar business platforms.
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Exposure to AI assistance bot integrations, data science workflows, and ML data pipelines.
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Understanding of SaaS product telemetry, metadata management, and data governance principles.
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Experience applying DevOps and CI/CD practices to data engineering environments.
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Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related technical field.
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CrowdStrike
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CrowdStrike Holdings, Inc. is an American cybersecurity technology company based in Austin, Texas. It provides endpoint security, threat intelligence, and cyberattack response services. The company was co-founded in 2011 by George Kurtz, Dmitri Alperovitch, and Gregg Marston. Kurtz serves as the CEO. CrowdStrike went public on the Nasdaq in 2019 and joined the S&P 500 index in 2024.
Source: Wikipedia
