10 hours ago

Director of Engineering, Data Platforms

✓ 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 offshore engineering delivery for data platforms, partnering with the core Databricks team to transition and operationalize existing pipelines on AWS. Manage a small team supporting asset-agnostic data onboarding into an enterprise data platform, and help integrate with data mastering capabilities (including NeoXam DataHub) to enable trusted, governed “single source of truth” flows. Drive repeatable ingestion, transformation, monitoring, and secure infrastructure patterns while coordinating globally across time zones.

Location: Hyderabad, Chennai

Workplace: Onsite

Employment Type: Full time

Job Function: Executive & General Management

Seniority: Sr. Director level

Key Responsibilities

•Partner with the core Databricks team to plan and execute pipeline transition to the target data platform.
•Lead offshore team efforts to enhance, stabilize, and optimize pipelines for performance, scalability, maintainability, and reliable AWS deployment.
•Define and operationalize repeatable engineering patterns for ingestion, transformation, testing, deployment, and monitoring across datasets.
•Enable asset-agnostic data onboarding and support integration with the enterprise data mastering platform (including golden record/golden copy workflows).
•Lead, mentor, and develop a small team, driving engineering rigor across delivery, production readiness, support models, and incident management.

Pay and Benefits

Perks:Health InsuranceRetirement

Key Requirements

•10+ years of experience in data engineering, data platforms, or related engineering domains.
•5+ years leading engineering teams, preferably in distributed or offshore delivery.
•Strong hands-on experience building batch and/or streaming data pipelines in a modern data engineering environment.
•Strong familiarity with AWS cloud-native data engineering, including Amazon S3, AWS Glue, AWS Lambda, and AWS Lake Formation.
•Experience with Databricks-based lakehouse platforms and data mastering/integration patterns (e.g., MDM, trusted distribution workflows).

Experience:Data engineeringFinancial servicesLakehouse

Skills:LeadershipStakeholder managementCommunicationMentoringEngineering rigor

Certifications:Databricks certificationsAWS Certified Data EngineerAWS Certified Solutions Architect

Tech Stack:AWSAmazon S3AWS GlueAWS Lake FormationAWS IAMAWS LambdaAmazon KinesisDatabricksDatabricks Unity CatalogDelta LakeApache IcebergNeoXam DataHubDataHubMDMCI/CDInfrastructure as codeAWS CodePipelineAWS CodeBuild

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

10 hours ago

Director of Engineering, Data Platforms

✓ 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: Hyderabad, Chennai

Workplace: Onsite

Employment Type: Full time

Job Function: Executive & General Management

Seniority: Sr. Director level

Key Responsibilities

•Partner with the core Databricks team to plan and execute pipeline transition to the target data platform.
•Lead offshore team efforts to enhance, stabilize, and optimize pipelines for performance, scalability, maintainability, and reliable AWS deployment.
•Define and operationalize repeatable engineering patterns for ingestion, transformation, testing, deployment, and monitoring across datasets.
•Enable asset-agnostic data onboarding and support integration with the enterprise data mastering platform (including golden record/golden copy workflows).
•Lead, mentor, and develop a small team, driving engineering rigor across delivery, production readiness, support models, and incident management.

Pay and Benefits

Perks:Health InsuranceRetirement

Key Requirements

•10+ years of experience in data engineering, data platforms, or related engineering domains.
•5+ years leading engineering teams, preferably in distributed or offshore delivery.
•Strong hands-on experience building batch and/or streaming data pipelines in a modern data engineering environment.
•Strong familiarity with AWS cloud-native data engineering, including Amazon S3, AWS Glue, AWS Lambda, and AWS Lake Formation.
•Experience with Databricks-based lakehouse platforms and data mastering/integration patterns (e.g., MDM, trusted distribution workflows).

Experience:Data engineeringFinancial servicesLakehouse

Skills:LeadershipStakeholder managementCommunicationMentoringEngineering rigor

Certifications:Databricks certificationsAWS Certified Data EngineerAWS Certified Solutions Architect

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