Director, Software Engineering

S&P Global; Virginia; On-site; USD 110,000 - 225,000; Full time

Benefits offered by this job

Annual incentive plan

Benefits

Job summary

S&P Global is seeking a Director of Software Engineering to partner with global platform, architecture, governance, security, data mastering, and Databricks-aligned teams to deliver enterprise data platforms.

You will plan and execute the transition of existing data pipelines to the target enterprise data platform, implement repeatable ingestion, transformation, testing, deployment, and monitoring across onboarded datasets, and drive engineering excellence with AI-assisted tooling.

Qualifications

• 10+ years in data engineering or related fields.
• Experience as a senior IC or technical lead in data platforms.
• Experience with Databricks and lakehouse architectures.

Responsibilities

• Plan and execute data pipeline transitions to the enterprise data platform.
• Lead AI-assisted engineering adoption to boost velocity and quality.
• Guide offshore teams on onboarding patterns for diverse data assets.
• Influence architecture and participate in design/code reviews for complex projects.

Skills

Data engineering

Data pipelines

Cloud architecture

Software engineering

Databricks

AI tools

Education

Bachelor’s degree

Tools

Databricks

Job description

About the Role:

Grade Level (for internal use):

13 The Role: Director, Software Engineering

The Team: This role partners with global platform, architecture, governance, security, data mastering, and Databricks-aligned teams to ensure offshore delivery aligns with enterprise standards. The team collaborates with partner teams, offshore teams, and upstream/downstream stakeholders to drive data platform initiatives and foster engineering excellence.

Responsibilities and Impact:

• Drive Data Pipeline Transition and Platform Delivery : Partner with the core Databricks team to plan and execute the transition of existing data pipelines to the target enterprise data platform, implementing repeatable engineering patterns for ingestion, transformation, testing, deployment, and monitoring across onboarded datasets.
• Champion AI-Assisted Engineering : Lead the adoption of AI-powered development tools like Claude, GitHub CoPilot, and LLMs to increase engineering velocity, code quality, and operational effectiveness, while developing context engineering practices and reusable context packs.
• Provide Technical Direction for Data Onboarding : Guide offshore teams in defining and operationalizing asset-agnostic onboarding patterns for a broad range of data assets, domains, and source systems, establishing reusable ingestion and processing patterns across batch and streaming use cases.
• Support Data Mastering Platform Integration : Integrate platform pipelines and datasets with the enterprise data mastering platform, establishing data quality controls, reconciliation processes, and metadata alignment to support trusted mastered data.
• Influence Semantic Modeling and Data Discoverability : Support practices to create consistent business definitions, reusable data concepts, and governed consumption patterns, partnering with business, architecture, data governance, and platform teams.
• Drive Technical Influence and Engineering Excellence : Serve as a senior technical expert for offshore data platform engineering, influencing architectural decisions, providing technical guidance to engineers and partner teams, and contributing to design/code reviews for complex data platform initiatives.

What We're Looking For:

Basic Required Qualifications:

• An S&P Global employee at this level would typically have 10+ years of experience in data engineering, data platforms, cloud data architecture, software engineering, or related engineering domains.
• Demonstrated experience operating as a senior Individual Contributor, technical lead, principal engineer, staff engineer, distinguished engineer, architect, or equivalent role in complex data platform environments.
• Strong hands‑on experience with modern data engineering and pipeline development, including batch and/or streaming data workflows, and 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, and experience applying LLMs to engineering use cases like code generation and optimization.
• We require all external candidates who reach the final stage of our interview process to attend at least one in‑person interview, which is ordinarily at your nearest S&P Global office, which occurs mas...

Additional Preferred Qualifications:

• Familiaritywithenterprise...

Compensation/Benefits (US Applicants Only):

S&P Global states that the anticipated base salary range for this position is $110,000 to $225,000. Final base salary for this role will be based on the individual's geographic location, as well as experience level, skill set, training, licenses and certifications.

In addition to base compensation, this role is eligible for an annual incentive plan. This role is not eligible for additional compensation such as an annual incentive bonus or sales commission plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here . Include for roles that are bonus plan eligible, including sales commission plans.

About S&P Global Dow Jones Indic e s

At S&P Dow Jones Indices, we provide iconic and innovative index solutions backed by unparalleled expertise across the asset-class spectrum. By bringing transparency to the global capital markets, we e