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Senior Manager, Data Engineering United States, San Francisco Jobs (Remote work)

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Senior Data Engineering Manager
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Lead a data engineering team at Atlassian in San Francisco, building scalable analytics platforms and operational data stores. Utilize your 10+ years in software development and 4+ years in people management to drive technical excellence. Expertise in AWS, Spark, and large-scale data ecosystems i...
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Location
United States , San Francisco
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Salary
168700.00 - 271100.00 USD / Year
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Atlassian
Expiration Date
Until further notice
Are you seeking to lead the strategic direction of data infrastructure at an enterprise level? Senior Manager, Data Engineering jobs represent a critical leadership nexus where technical expertise meets business vision. Professionals in this role are responsible for architecting, building, and maintaining the robust data platforms that fuel analytics, machine learning, and data-driven decision-making across an organization. They move beyond individual contribution to lead teams, set technical strategy, and ensure that data is treated as a scalable, reliable, and secure asset. A Senior Manager of Data Engineering typically oversees a team of data engineers, architects, and analysts. Their core responsibilities involve designing and implementing scalable data pipelines and warehousing solutions, establishing data governance and quality standards, and managing the full data lifecycle from ingestion to consumption. They are tasked with selecting and managing cloud-based data technologies (like AWS, GCP, or Azure), optimizing data infrastructure for cost and performance, and fostering a strong data culture. Crucially, they collaborate closely with data scientists, analysts, and business stakeholders to understand needs and translate them into technical requirements, often playing a key role in enabling advanced AI and machine learning initiatives. The typical skill set for these leadership positions is multifaceted. A strong foundation in data engineering principles—including ETL/ELT processes, data modeling, database management (SQL and NoSQL), and distributed computing frameworks (like Spark)—is essential. Equally important are proven leadership and people management skills, with experience in recruiting, mentoring, and growing high-performing engineering teams. Strategic thinking, excellent communication, and the ability to manage budgets and vendor relationships are paramount. Candidates usually possess a bachelor’s or advanced degree in computer science, engineering, or a related quantitative field, coupled with 8+ years of experience, including several years in a hands-on data engineering role and at least 2-3 years in a leadership capacity. Exploring Senior Manager, Data Engineering jobs means pursuing a career at the forefront of technological innovation, where you will shape how organizations harness their most valuable resource: data. It is a role for those who excel at solving complex technical challenges while inspiring teams and driving tangible business outcomes through strategic data leadership.

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