S&P Global

3 weeks ago

Sr. Director, Software Engineering – Data Platform & MDM Integration

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 10 hours agoStatus: Live

Job Summary

Lead strategic MDM integration and cloud data architecture efforts, overseeing high-volume data integration between Databricks lakehouse and NeoXam MDM. Drive Databricks-based pipelines using Unity Catalog, Delta Live Tables, and serverless compute, while implementing AI/ML automation for data transformation, QA, and anomaly detection. Modernize legacy infrastructure by migrating terabytes to AWS and evolving monolithic systems into microservices, and build teams of product-focused software and data engineers.

Location: New York

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Director level

Key Responsibilities

•Lead strategic MDM integration initiatives, architecting and overseeing high-volume data integration between Databricks lakehouse and NeoXam MDM.
•Drive advanced cloud data architecture using Databricks features (Unity Catalog, Delta Live Tables, serverless compute) to optimize massive-scale financial datasets.
•Implement AI/ML automation with Databricks Mosaic AI and agentic frameworks for data transformation, quality assurance, and anomaly detection.
•Build and scale high-performing engineering teams by leading, managing, and mentoring multiple product-focused software and data engineering teams.
•Modernize legacy infrastructure by migrating legacy assets and large data volumes to AWS and breaking monolithic applications into microservices.

Pay and Benefits

Salary: USD 185,000 - 265,000 annually

Perks:Health InsurancePaid LeaveLearning Budget

Key Requirements

•Bachelor's degree in Computer Science, Engineering, or a related technical field.
•Minimum 9 years of experience in software engineering and data platform development for enterprise-scale solutions.
•Minimum 7 years of people management experience leading technical teams in fast-paced environments.
•Advanced expertise in cloud data platforms (Databricks, Snowflake or similar) with hands-on lakehouse architecture and ETL/ELT processes.
•Strong experience with cloud infrastructure including AWS services (S3, EMR, Glue, Lambda) or equivalent platforms (Azure, GCP).

Experience:9+ years

Education:Bachelor's in Computer Science, Engineering, or related technical field

Tech Stack:DatabricksUnity CatalogDelta Live TablesServerless computeNeoXamNeoXam MDMSnowflakeAWSS3EMRGlueLambdaAzureGCPDatabricks Mosaic AIAgentic frameworksMLflowKubeflowSageMakerLangChain

Company Brief

S&P Global

Provides financial information, analytics, benchmarks, and credit ratings to markets and institutions worldwide, offering data, research, indices, and risk assessment tools across the financial services and commodities sectors.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: New York, United States

Founded: 1917

Website LinkedIn

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S&P Global

3 weeks ago

Sr. Director, Software Engineering – Data Platform & MDM Integration

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 10 hours agoStatus: Live

Job Summary

Location: New York

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Director level

Key Responsibilities

•Lead strategic MDM integration initiatives, architecting and overseeing high-volume data integration between Databricks lakehouse and NeoXam MDM.
•Drive advanced cloud data architecture using Databricks features (Unity Catalog, Delta Live Tables, serverless compute) to optimize massive-scale financial datasets.
•Implement AI/ML automation with Databricks Mosaic AI and agentic frameworks for data transformation, quality assurance, and anomaly detection.
•Build and scale high-performing engineering teams by leading, managing, and mentoring multiple product-focused software and data engineering teams.
•Modernize legacy infrastructure by migrating legacy assets and large data volumes to AWS and breaking monolithic applications into microservices.

Pay and Benefits

Salary: USD 185,000 - 265,000 annually

Perks:Health InsurancePaid LeaveLearning Budget

Key Requirements

•Bachelor's degree in Computer Science, Engineering, or a related technical field.
•Minimum 9 years of experience in software engineering and data platform development for enterprise-scale solutions.
•Minimum 7 years of people management experience leading technical teams in fast-paced environments.
•Advanced expertise in cloud data platforms (Databricks, Snowflake or similar) with hands-on lakehouse architecture and ETL/ELT processes.
•Strong experience with cloud infrastructure including AWS services (S3, EMR, Glue, Lambda) or equivalent platforms (Azure, GCP).

Experience:9+ years

Education:Bachelor's in Computer Science, Engineering, or related technical field

Tech Stack:DatabricksUnity CatalogDelta Live TablesServerless computeNeoXamNeoXam MDMSnowflakeAWSS3EMRGlueLambdaAzureGCPDatabricks Mosaic AIAgentic frameworksMLflowKubeflowSageMakerLangChain

Company Brief

S&P Global

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: New York, United States

Founded: 1917

Website LinkedIn