Director, Software Engineering

🔥 14 hours ago

⚔️ Virginia – Remote

⚔️ Virginia – Remote

💵 $110k - $225k / year

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

👻 Ghost score 0%

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S&P Global

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1860

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

S&P Global is a leading provider of market intelligence, ratings, analytics, and benchmark indices. The company offers comprehensive insights across various domains including finance, commodities, mobility, and sustainability. Renowned for its data-driven solutions, S&P Global assists organizations in navigating complex market trends, evaluating credit risk, and understanding the implications of artificial intelligence and energy transitions. Its diverse offerings, such as S&P Global Market Intelligence, S&P Global Ratings, and S&P Dow Jones Indices, provide critical data and analytics to businesses, government entities, and investors worldwide.

📋 Description

• Partner with the core Databricks team to plan and execute 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 for 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 • Provide senior technical guidance for offshore data platform engineering • Influence architectural decisions and contribute to design and code reviews for complex data platform initiatives • Collaborate with global platform, architecture, governance, security, data mastering, Databricks-aligned, partner, offshore, and upstream/downstream teams

🎯 Requirements

• 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 in complex data platform environments • 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 at the nearest S&P Global office • Familiarity with enterprise data cataloging, metadata management, business glossary, 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 across groups

🏖️ Benefits

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