# Senior Data Engineer (VP)

**Company**: BlackRock
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Finance
**Wikidata**: https://www.wikidata.org/wiki/Q219635

**Apply**: https://blackrock.wd1.myworkdayjobs.com/en-US/BlackRock_Professional/job/Mumbai-India/VP---Senior-Data-Engineer--Python-Snowflake-Apache-Airflow-_R264460?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_feabf6b3-187

## Description

The Senior Data Engineer (VP) designs, develops, and supports enterprise-scale data platform capabilities using Airflow, dbt, Python, SQL, cloud-native technologies, and cloud data warehouse platforms to deliver scalable, reliable, and high-performance data solutions.

Responsibilities:

- Actively participate in Agile ceremonies to support successful delivery of platform capabilities.

- Participate in technical design discussions, analyze requirements, and translate complex business needs into scalable data platform solutions.

- Design, develop, and optimize core enterprise data platform capabilities, including data acquisition, ingestion, transformation, workflow orchestration, and reusable processing frameworks.

- Build and optimize large-scale data pipelines supporting data ingestion, transformation, validation, and distribution across enterprise cloud environments.

- Implement metadata-driven processing frameworks and reusable engineering patterns that improve automation, standardization, scalability, and reuse.

- Build and enhance platform capabilities related to metadata management, lineage, dependency tracking, data quality, governance, and workflow control.

- Incorporate Agentic AI capabilities into platform services to enhance automation, intelligent decision-making, developer productivity, and operational efficiency.

- Partner with cross-functional teams to support collaborative development, system integration, and end-to-end testing across platform components and dependent systems.

- Develop and maintain system, integration, regression, and test automation frameworks to ensure platform quality, reliability, and production readiness.

- Support deployment and release activities, ensuring successful rollout of platform enhancements and seamless integration with dependent systems and downstream consumers.

- Contribute to engineering standards, architectural patterns, operational best practices, and framework conventions that improve platform maintainability, consistency, scalability, and supportability.

- Provide L2/L3 production support for data platforms and products, perform root cause analysis, and implement corrective actions to ensure platform stability and operational excellence.

- Drive continuous improvements in platform performance, scalability, resilience, observability, and operational efficiency across data workflows and framework components.

- Lead Proof of Concepts (POCs) and technology evaluations to assess emerging technologies, validate architectural approaches, and identify opportunities for platform modernization and innovation.

- Support product documentation by providing technical expertise, implementation details, and content validation to ensure accuracy, completeness, and alignment with platform capabilities.

- Conduct live product demonstrations and participate in user workshops to showcase platform capabilities, gather feedback, validate solutions, and support platform adoption.

Required Qualifications:

- Bachelor’s degree in Computer Science, Information Systems, or a related technical field.

- 8+ years of experience in Data Engineering, Data Platform Engineering, or a related software engineering role.

- Hands-on experience with Apache Airflow, Python, SQL, cloud-native technologies, and cloud data warehouse platforms.

- Strong proficiency in Python, with hands-on experience developing scalable, production-grade data pipelines and frameworks.

- Hands-on experience designing and building ETL/ELT frameworks, reusable data pipeline components, and workflow-driven data systems.

- Hands-on experience with Snowflake or equivalent cloud-native analytical data platforms.

- Strong hands-on experience writing and optimizing complex SQL.

- Proven experience in query optimization, performance tuning, and workload management for large-scale data environments.

- Extensive hands-on experience with dbt.

- Proven track record of improving the performance, reliability, scalability, and maintainability of enterprise data platforms and pipelines.

Benefits:

- Strong retirement plan

- Tuition reimbursement

- Comprehensive healthcare

- Support for working parents

- Flexible Time Off (FTO)

## Skills

### Required
- Apache Airflow
- Python
- SQL
- cloud-native technologies
- cloud data warehouse platforms
- dbt
- Snowflake
- ETL/ELT frameworks
- data pipeline components
- workflow-driven data systems
- query optimization
- performance tuning
- workload management
- metadata management
- lineage
- dependency tracking
- data quality
- governance
- workflow control
- Agentic AI
- SDK and API-based development
- Docker
- Kubernetes
- containerized deployment architectures

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Source: [Apply at blackrock.wd1.myworkdayjobs.com](https://blackrock.wd1.myworkdayjobs.com/en-US/BlackRock_Professional/job/Mumbai-India/VP---Senior-Data-Engineer--Python-Snowflake-Apache-Airflow-_R264460?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)