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Data Platform Engineering, BlackRock Global Markets, Director

BlackRock

Data Platform Engineering, BlackRock Global Markets, Director

BlackRock logo

BlackRock

full-time

Posted: November 18, 2025

Number of Vacancies: 1

Job Description

About this role

About the role

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.
 

Experience & Education

  • 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.
     

Success Metrics

  • Reduced time to build and deploy data pipelines.

  • Increased adoption of common tooling across teams.

  • High system reliability and observability coverage.

  • Migration away from legacy to more modern, cloud native and AI-friendly data architecture
     

Required Skills

Technical

  • Distributed systems expertise: Profound understanding of distributed data systems and advanced data technologies (e.g. SparkKafkaAirflow) 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. 
     

Leadership & Strategy

  • 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.

Our benefits

To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

About BlackRock

At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being.  Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.

This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.

For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock

BlackRock is proud to be an Equal Opportunity Employer.  We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.

Locations

  • 14th & 15th floor, Tower C&D,DLF Bldg No. 14, IT/ITES SEZ,Gurgaon- 122002,Haryana,India, Gurgaon, India

Salary

Salary not disclosed

Estimated Salary Rangemedium confidence

120,000 - 200,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Distributed systems expertiseintermediate
  • DevOps & Cloud proficiencyintermediate
  • Hands-on experience with containerizationintermediate
  • Data pipeline developmentintermediate
  • Programming & data modellingintermediate
  • Data migration experienceintermediate
  • Modern data architecture understandingintermediate
  • Leadership & Strategyintermediate
  • Collaboration and communication skillsintermediate

Required Qualifications

  • 10+ years in backend, data, or platform engineering (with at least 3–5 years dedicated to data infrastructure and cloud-native architecture) (experience)
  • A Bachelor’s degree or equivalent experience in Computer Science, Engineering, or related discipline (experience)

Preferred Qualifications

  • Proven track record of building internal data platforms or developer tools at scale (experience)
  • Proficiency in data architecture protocols and previous involvement with financial or investment data systems (experience)

Responsibilities

  • Architect and build the data infrastructure that underpins our markets & investment analytics
  • Design scalable data frameworks
  • Integrate firm-wide data assets
  • Enable teams to deliver data solutions efficiently and safely
  • Spearhead the creation of our next-generation data ecosystem using DevOps practices
  • Help shape analytics that power critical market and investment systems
  • Balance hands-on execution, strategic direction, and team leadership to ensure a reliable, scalable, and secure data platform

Benefits

  • general: Strong retirement plan
  • general: Tuition reimbursement
  • general: Comprehensive healthcare
  • general: Support for working parents
  • general: Flexible Time Off (FTO)

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BlackRock logo

Data Platform Engineering, BlackRock Global Markets, Director

BlackRock

Data Platform Engineering, BlackRock Global Markets, Director

BlackRock logo

BlackRock

full-time

Posted: November 18, 2025

Number of Vacancies: 1

Job Description

About this role

About the role

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.
 

Experience & Education

  • 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.
     

Success Metrics

  • Reduced time to build and deploy data pipelines.

  • Increased adoption of common tooling across teams.

  • High system reliability and observability coverage.

  • Migration away from legacy to more modern, cloud native and AI-friendly data architecture
     

Required Skills

Technical

  • Distributed systems expertise: Profound understanding of distributed data systems and advanced data technologies (e.g. SparkKafkaAirflow) 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. 
     

Leadership & Strategy

  • 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.

Our benefits

To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

About BlackRock

At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being.  Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.

This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.

For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock

BlackRock is proud to be an Equal Opportunity Employer.  We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.

Locations

  • 14th & 15th floor, Tower C&D,DLF Bldg No. 14, IT/ITES SEZ,Gurgaon- 122002,Haryana,India, Gurgaon, India

Salary

Salary not disclosed

Estimated Salary Rangemedium confidence

120,000 - 200,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Distributed systems expertiseintermediate
  • DevOps & Cloud proficiencyintermediate
  • Hands-on experience with containerizationintermediate
  • Data pipeline developmentintermediate
  • Programming & data modellingintermediate
  • Data migration experienceintermediate
  • Modern data architecture understandingintermediate
  • Leadership & Strategyintermediate
  • Collaboration and communication skillsintermediate

Required Qualifications

  • 10+ years in backend, data, or platform engineering (with at least 3–5 years dedicated to data infrastructure and cloud-native architecture) (experience)
  • A Bachelor’s degree or equivalent experience in Computer Science, Engineering, or related discipline (experience)

Preferred Qualifications

  • Proven track record of building internal data platforms or developer tools at scale (experience)
  • Proficiency in data architecture protocols and previous involvement with financial or investment data systems (experience)

Responsibilities

  • Architect and build the data infrastructure that underpins our markets & investment analytics
  • Design scalable data frameworks
  • Integrate firm-wide data assets
  • Enable teams to deliver data solutions efficiently and safely
  • Spearhead the creation of our next-generation data ecosystem using DevOps practices
  • Help shape analytics that power critical market and investment systems
  • Balance hands-on execution, strategic direction, and team leadership to ensure a reliable, scalable, and secure data platform

Benefits

  • general: Strong retirement plan
  • general: Tuition reimbursement
  • general: Comprehensive healthcare
  • general: Support for working parents
  • general: Flexible Time Off (FTO)

Target Your Resume for "Data Platform Engineering, BlackRock Global Markets, Director" , BlackRock

Get personalized recommendations to optimize your resume specifically for Data Platform Engineering, BlackRock Global Markets, Director. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Data Platform Engineering, BlackRock Global Markets, Director" , BlackRock

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Asset ManagementFinanceFinanceAsset Management

Related Jobs You May Like

No related jobs found at the moment.