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Vice President of Data Engineering

BlackRock Services India Pvt Ltd

Gurugram, Haryana8+ yrsSalary not disclosed
Full-timeHybrid

Posted todayBe an early applicant

Vice President of Data Engineering

Gurugram, Haryana

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Experience

8+ yrs

Salary

Not disclosed

Job type

Full-time

Openings

1

Education

Any graduate

Apply by

20 Oct 2026

The BlackRock Data Office (BDO) is responsible for building and advancing the firm's enterprise data capabilities by delivering trusted, scalable, and governed data products that power investment, business, operational, and technology outcomes.

As a Vice President of Data Engineering, you will play a key role in designing, building, and optimizing modern data platforms and pipelines that enable high-quality, reliable, and accessible data across the organization. You will provide technical leadership for complex initiatives, mentor junior engineers, influence architecture decisions, and drive engineering best practices across multiple teams.

  • Design, develop, and maintain scalable, reliable, and high-performance data pipelines supporting enterprise data products.
  • Provide technical leadership for complex initiatives, mentor junior engineers, influence architecture decisions, and drive engineering best practices across multiple teams.
  • Build and optimize batch and real-time data ingestion, transformation, and publishing processes across diverse data sources.
  • Ensure data products meet enterprise standards for quality, security, governance, lineage, and observability.
  • Troubleshoot complex production issues, perform root cause analysis, and implement sustainable long-term solutions.
  • 7+ years of experience designing, building, and delivering enterprise-scale data engineering solutions, including demonstrated technical leadership responsibilities.
  • 4+ years of strong Java, Python or Scala programming skills (Core Python and PySpark) including hands-on experience creating and supporting UDFs and modules like pytest.
  • 4+ years of experience with building and optimizing big data pipelines, architectures, and data sets.
  • 4+ years of hands-on experience developing on Spark in a production environment with expertise in parallel execution and resource allocation.
  • Strong experience implementing solutions on Snowflake and proficiency in Transact SQL, No-SQL, and GraphQL.

Skills

Perks & benefits

  • ✓ strong retirement plan
  • ✓ tuition reimbursement
  • ✓ comprehensive healthcare
  • ✓ support for working parents
  • ✓ Flexible Time Off (FTO)
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