
Staff Engineer
Posted Aug 31

Posted Aug 31
This is a fully remote position, open to applicants in United States.
• Define and lead the technical architecture along with the long-term vision for the company's data platform.
• Oversee the design of large-scale, highly reliable data pipelines and systems that cross multiple teams.
• Establish engineering standards for data modeling, testing, observability, and pipeline design throughout the organization.
• Mentor and offer technical guidance to senior and mid-level data engineers.
• Assess and integrate new tools, frameworks, and platforms to enhance scalability, reliability, and developer efficiency.
• Collaborate with engineering, product, and analytics leadership to ensure data infrastructure investments align with business objectives.
• Conduct root-cause analysis for intricate, cross-system data incidents and implement systemic solutions.
• Represent the data engineering department in cross-organizational architecture and planning discussions.
• Over 7 years of professional experience in data engineering, including substantial involvement in designing large-scale data systems.
• Proven experience in leading the architecture of complex data platforms from start to finish.
• Extensive knowledge of SQL and proficiency in at least one programming language applicable to data engineering (e.g., Python, Scala, or Java).
• A solid record of establishing technical direction and influencing engineering standards across teams.
• Significant experience with cloud data platforms, data warehousing, and large-scale pipeline orchestration.
• Excellent communication skills, with a background in presenting technical strategies to both engineering and business stakeholders.
• Experience in mentoring and developing other engineers.
• Background in building data platforms that cater to both analytics and machine learning applications.
• Proven experience leading major platform migrations or re-architecture initiatives.
• Familiarity with streaming architectures and large-scale real-time data processing.
• Understanding of data governance, lineage, and compliance standards.
• Previous experience in a Staff, Principal, or equivalent individual-contributor leadership position.
• A collaborative team culture founded on curiosity and respect.
• Engaging work where your contributions are meaningful.
• A leadership team that prioritizes learning and development opportunities.
• The chance to work at the forefront of cloud, data, and AI innovation.
Arista Networks
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Capital One
HealthEdge
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