Director, Software Engineering

🕒 vor 4 Tagen

⚔️ Virginia – Remote

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💵 $110.000 - $225.000 / Jahr

⏰ Vollzeit

🔴 Experte

🧑‍💻 Full-Stack-Entwickler

👻 Geisterscore 0%

infoinfo

🗣️🇺🇸🇬🇧 Englisch erforderlich

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S&P Global

10.000+ Mitarbeiter

Gegründet 1860

💼 Beratung

📦 Logistik

📣 Marketing

Consulting • Logistics • Marketing

S&P Global ist ein führender Anbieter von Marktintelligenz, Ratings, Analytics und Benchmark-Indizes. Das Unternehmen liefert umfassende Einblicke in verschiedene Bereiche, darunter Finanzen, Rohstoffe, Mobilität und Nachhaltigkeit. Bekannt für datengestützte Lösungen unterstützt S&P Global Organisationen dabei, sich in komplexen Markttrends zurechtzufinden, Kreditrisiken zu bewerten und die Auswirkungen von Künstlicher Intelligenz (KI) und Energiewende zu verstehen. Das vielfältige Angebot – darunter S&P Global Market Intelligence, S&P Global Ratings und S&P Dow Jones Indices – stellt Unternehmen, staatlichen Institutionen und Investoren weltweit kritische Daten und Analytics zur Verfügung.

Beschreibung

• Partner with the core Databricks team to plan and execute the transition of existing data pipelines to the target enterprise data platform • Implement repeatable engineering patterns for ingestion, transformation, testing, deployment, and monitoring across onboarded datasets • Lead adoption of AI-powered development tools such as Claude, GitHub CoPilot, and LLMs • Develop context engineering practices and reusable context packs • Guide offshore teams in defining and operationalizing asset-agnostic onboarding patterns for data assets, domains, and source systems • Establish reusable ingestion and processing patterns across batch and streaming use cases • Integrate platform pipelines and datasets with the enterprise data mastering platform • Establish data quality controls, reconciliation processes, and metadata alignment • Support consistent business definitions, reusable data concepts, and governed consumption patterns • Serve as a senior technical expert for offshore data platform engineering • Influence architectural decisions and provide technical guidance to engineers and partner teams • Contribute to design and code reviews for complex data platform initiatives

🎯 Anforderungen

• 10+ years of experience in data engineering, data platforms, cloud data architecture, software engineering, or related engineering domains • Experience as a senior Individual Contributor, technical lead, principal engineer, staff engineer, distinguished engineer, architect, or equivalent • Strong hands-on experience with modern data engineering and pipeline development • Experience with batch and/or streaming data workflows • Experience with Databricks-based data platforms and lakehouse-oriented architectures • Practical experience using AI-assisted engineering tools such as Claude, GitHub CoPilot, LLMs, or similar • Experience applying LLMs to engineering use cases such as code generation and optimization • External candidates reaching the final interview stage must attend at least one in-person interview • Familiarity with enterprise data cataloging, metadata management, business glossaries, lineage, operational metadata platforms, or semantic data layers • Experience with NeoXam DataHub or NeoXam-style mastering workflows • Knowledge of semantic modeling • Strong leadership skills, including coaching, empowering others, and building consensus

🏖️ Vorteile

• Annual incentive plan eligibility • Health care coverage • Generous time off • Continuous learning and career development resources • Retirement planning • Continuing education program • Company-matched student loan contribution • Financial wellness programs • Family benefits and perks • Retail discounts • Referral incentive awards

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