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  • Emplois similaires à : Sr. Director, Software Engineering - Data Platform & MDM Integration
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Sr. Director, Software Engineering - Data Platform & MDM IntegrationS&P Global • New York, New York, United States
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Sr. Director, Software Engineering - Data Platform & MDM Integration

S&P Global
  • US
    New York, New York, United States
  • US
    New York, New York, United States
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À propos

About the Role Grade Level (for internal use): 14. The Team: This team is essential to the division's data strategy, playing a key role in data transformation and leading efforts to replace legacy technical debt. The team embodies a strong commitment to delivering on business needs and demonstrates exceptional collaboration with both product and business partners, bringing high energy and dedication to their work while being known for their collaborative approach and strong technical expertise. Responsibilities and Impact Lead strategic MDM integration initiatives – Architect and oversee seamless, high‑volume data integration between Databricks lakehouse and NeoXam MDM platform, establishing foundational data architecture for multi‑billion‑dollar index‑linked investment products. Drive advanced cloud data architecture – Utilize cutting‑edge Databricks features including Unity Catalog, Delta Live Tables, and Serverless compute to optimize data pipelines and maximize performance for massive‑scale financial datasets. Pioneer AI/ML automation solutions – Implement Databricks Mosaic AI and agentic frameworks to automate data transformation, quality assurance, and anomaly detection across the entire conversion lifecycle. Build and scale high‑performing engineering teams – Lead, manage, and grow multiple teams of product‑focused software and data engineers while mentoring their professional and technical development. Modernize legacy infrastructure – Spearhead mission‑critical migration of legacy assets and terabytes of data to modern AWS cloud ecosystem, breaking monolithic applications into microservice architectures. Champion engineering excellence and innovation – Foster a culture of cutting‑edge technology adoption, continuous improvement of software engineering practices, and delivery of scalable, resilient solutions. Compensation and Benefits Estimated base salary range: $185,000 to $265,000 (US candidates only). Final base salary will be based on geographic location, experience level, skill set, training, licenses, and certifications. Eligible for an annual incentive plan. Qualifications Citizen in the United States of America (or legally authorized to work in the US). Bachelor's degree in Computer Science, Engineering, or related technical field. Minimum 9 years of experience in software engineering and data platform development with proven track record in enterprise‑scale solutions. Minimum 7 years of people management experience leading technical teams and driving organizational growth in fast‑paced environments. Advanced expertise in cloud data platforms such as Databricks, Snowflake, or similar, with hands‑on experience in data lakehouse architectures and ETL/ELT processes. Strong experience with cloud infrastructure including AWS services (S3, EMR, Glue, Lambda) or equivalent cloud platforms (Azure, GCP). Proven leadership in large‑scale data migrations and system modernization initiatives, with experience managing complex technical transformations. Preferred Qualifications Master's degree in Computer Science, Software Engineering, or related technical discipline with 13+ years of progressive software development and data architecture experience. Deep expertise in Master Data Management platforms such as NeoXam, Informatica MDM, or IBM InfoSphere, with proven success integrating enterprise data platforms. Advanced AI/ML and Generative AI experience including hands‑on work with machine learning frameworks (MLflow, Kubeflow, SageMaker) and LLM implementation using tools like LangChain, Hugging Face, or similar platforms. Extensive experience with Big Data technologies including distributed computing frameworks (Apache Spark, Hadoop, Flink) and modern data processing architectures. Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision.
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  • New York, New York, United States

Compétences linguistiques

  • English
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