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Data Platform Engineering Director

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BlackRock Investments

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Location:
India , Gurgaon

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

The Lead – Data Platform Engineering will architect and build the data infrastructure that underpins our markets & investment analytics. This role is responsible for designing scalable data frameworks, integrating firm-wide data assets, and enabling teams to deliver data solutions efficiently and safely. Working within BlackRock’s Global Markets & Index Investments (BGM) Data & Analytics team – the Lead will spearhead the creation of our next-generation data ecosystem using DevOps practices, helping shape analytics that power its critical market and investment systems. As a leader, this position demands a balance of hands-on execution, strategic direction, and team leadership to ensure a reliable, scalable, and secure data platform.

Job Responsibility:

  • Architect and build the data infrastructure that underpins our markets & investment analytics
  • Design scalable data frameworks, integrating firm-wide data assets, and enabling teams to deliver data solutions efficiently and safely
  • Spearhead the creation of our next-generation data ecosystem using DevOps practices, helping shape analytics that power its critical market and investment systems
  • Ensure a reliable, scalable, and secure data platform

Requirements:

  • 10+ years in backend, data, or platform engineering (with at least 3–5 years dedicated to data infrastructure and cloud-native architecture)
  • Proven track record of building internal data platforms or developer tools at scale is highly desirable
  • A Bachelor’s degree or equivalent experience in Computer Science, Engineering, or related discipline is a must
  • Proficiency in data architecture protocols and previous involvement with financial or investment data systems is beneficial
  • Distributed systems expertise: Profound understanding of distributed data systems and advanced data technologies (e.g. Spark, Kafka, Airflow) for large-scale data processing
  • DevOps & Cloud proficiency: Expertise in implementing CI/CD pipelines, cloud orchestration, and infrastructure-as-code(Terraform, CDK) on modern cloud platforms (Azure preferred, also AWS/GCP)
  • Hands-on experience with containerization (Docker, Kubernetes) and cloud infrastructure automation is essential
  • Data pipeline development: Proficiency in designing and optimizing scalable data pipelines for data ingestion, transformation, and delivery
  • Experience with modern ETL/ELT frameworks (e.g. Apache Airflow, dbt, Azure Data Factory) for workflow orchestration is preferred
  • Programming & data modelling: Strong programming skills in Python, SQL, Scala with solid data modelling and database design experience
  • Ability to ensure data quality, integrity, and lineage throughout data pipelines is required
  • Data migration experience: Proven experience leading large-scale data migration initiatives from on-premises databases (e.g. Oracle, Teradata, SQL Server) to cloud-based data platforms like Snowflake, with minimal downtime and no compromise on data integrity or compliance
  • Modern data architecture understanding: Familiarity with modern data architecture patterns (streaming data, data lakes, etc.) and technologies
  • Ability to build resilient data services supporting advanced analytics, AI/ML models, and event-driven use cases
  • Demonstrated ability to lead and mentor engineering teams, establish high coding standards, and drive continuous improvement in platform reliability and developer efficiency
  • Excellent collaboration and communication skills, with comfort in bridging technical and business needs to deliver results
  • Establish standards methodologies such as CI/CD pipelines, observability, and version control for data workflows
  • Partner with Data Quality, DevOps, and Infrastructure teams to ensure seamless data flow and governance across the platform
What we offer:
  • Strong retirement plan
  • Tuition reimbursement
  • Comprehensive healthcare
  • Support for working parents
  • Flexible Time Off (FTO)

Additional Information:

Job Posted:
February 20, 2026

Expiration:
February 28, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

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