Senior Staff Data Engineer

Emploi pas sur LinkedIn

🕒 il y a 2 mois

🏄 California – Distant

🏄 California – Remote

💵 $225 000 - $290 000 / an

⏰ Temps Plein

🟠 Senior

🚰 Ingénieur Data

🦅 Parrain de Visa H1B

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Circle

Site WebLinkedInTous les Emplois

501 - 1000 employés

💳 Fintech

₿ Crypto

🌐 Web 3

Fintech • Crypto • Web 3

Circle est une entreprise de technologie financière de premier plan qui permet aux entreprises et aux développeurs d’accéder à des solutions innovantes basées sur la blockchain, notamment via son stablecoin, USDC. La société est spécialisée dans les services de paiement transfrontaliers, les wallets programmables et les plateformes de smart contracts, facilitant des transactions sûres et efficaces pour les utilisateurs. Circle met l’accent sur la transparence, la sécurité et l’accessibilité dans l’économie numérique, et se positionne comme un partenaire de confiance dans l’écosystème en évolution des monnaies numériques.

Description

• Define and implement organization-wide data quality standards, including data contracts, SLAs, and governance frameworks across domains • Design and scale reliability and observability frameworks, including SLI/SLO models, lineage tracking, monitoring, and alerting patterns • Establish and evolve incident management practices, including severity models, escalation paths, on-call structures, and blameless postmortems • Develop and standardize data engineering SDLC practices, including testing strategies, CI/CD, versioning, and reusable frameworks • Drive cross-functional prioritization of reliability initiatives, balancing technical debt, operational health, and product delivery across teams • Lead ecosystem-wide platform improvements, identifying architectural gaps, reducing fragmentation, and influencing build vs buy decisions • Own and deliver complex, high-impact data initiatives, aligning stakeholders, mitigating risks, and driving scalable solutions in ambiguous environments

🎯 Exigences

• Extensive experience designing and operating scalable data platforms with a focus on reliability, quality, and observability • Experience leveraging AI tools and methodologies to design and implement the solutions • Deep expertise in data architecture, including data modeling, pipeline design, and distributed data systems • Proven ability to define and implement data quality frameworks, including SLAs, data contracts, and governance standards • Strong experience establishing SLI/SLO frameworks, monitoring, and alerting for large-scale data systems • Demonstrated ability to lead complex, cross-team technical initiatives and drive alignment across stakeholders • Experience defining and scaling engineering best practices, including testing, CI/CD, and development standards for data systems

🏖️ Avantages

• We respect your privacy and will connect with you separately from our interview process to accommodate your needs.