VP - Senior Data Engineer

BlackRock · Bengaluru · Posted 2026-07-18

Tech stack: AWS, Azure, Kubernetes, Python, SQL, Terraform

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About the role

About this role About the Role This position sits within BlackRock’s Private Markets Data Engineering (PMDE) team, at the heart of our mission to revolutionize private markets data and technology. As Vice President, you will play a pivotal role in building and scaling our data infrastructure and analytics capabilities as a senior individual contributor and hands-on technical leader. You will work closely with business stakeholders to translate strategic objectives and user needs into actionable data initiatives and technical solutions, operating with direct line management while retaining accountability for technical outcomes. Key Responsibilities

Responsibilities:
- Provide hands-on technical leadership across the PMDE team, acting as a technical authority for data architecture and engineering decisions, and fostering a culture of excellence, collaboration, and continuous improvement.
- Architect and oversee the development of scalable, reliable data pipelines and analytics platforms, with accountability for end-to-end technical design, data , and long-term sustainability, with a strong focus on Snowflake, SQL, and Python.
- Influence technical prioritization and solution design based on business impact and strategic alignment, partnering with product and delivery leads on sequencing and trade-offs.
- Engage and communicate complex technical concepts to senior including making clear architectural recommendations
- Collaborate with business stakeholders to translate strategic objectives into actionable data initiatives, ensuring alignment with Preqin’s and BlackRock’s broader vision.
- Champion best practices in data management, governance, and security, leveraging automation, cloud technologies, and modern engineering principles.
- Define engineering standards for ingestion patterns, staging models, schema evolution, data quality and data lineage.
- Manage a team of Data Engineers
- Drive the adoption of advanced analytics and AI/ML solutions, integrating technical innovation with business value.
- Oversee technical delivery and architectural coherence across initiatives, prioritizing work based on data-driven insights and business outcomes.
- Promote a collaborative environment, bridging the gap between technical and business teams.

Qualifications:
- Proven experience in senior technical roles, with deep hands-on expertise in Snowflake, SQL, and Python.
- Demonstrated leadership experience in senior technical roles, including leading complex initiatives and providing technical direction to other engineers, with or without direct line management.
- Strong track record of working with data engineers and BI analysts.
- Deep understanding of data architecture, pipeline design ( preferably dbt ) , pipeline tooling (e.g ., Dagster , Airflow ), and cloud platforms (Azure or AWS preferred).
- Demonstrated ability to engage and influence stakeholders at all levels, with exceptional communication and interpersonal skills.
- Experience translating business requirements into scalable technical solutions.
- Comfortable operating in a fast-paced, dynamic environment, balancing long-term technical direction with immediate delivery needs.
- Prior experience with AI/ML projects, infrastructure as code (e.g., Terraform), and CI/CD pipelines.
- Experience managing a technical team

Qualifications

- Proven experience in senior technical roles, with deep hands-on expertise in Snowflake, SQL, and Python.
- Demonstrated leadership experience in senior technical roles, including leading complex initiatives and providing technical direction to other engineers, with or without direct line management.
- Strong track record of working with data engineers and BI analysts.
- Deep understanding of data architecture, pipeline design ( preferably dbt ), pipeline tooling (e.g., Dagster, Airflow ), and cloud platforms (Azure or AWS preferred).
- Demonstrated ability to engage and influence stakeholders at all levels, with exceptional communication and interpersonal skills.
- Experience translating business requirements into scalable technical solutions.
- Comfortable operating in a fast-paced, dynamic environment, balancing long-term technical direction with immediate delivery needs.
- Prior experience with AI/ML projects, infrastructure as code (e.g., Terraform), and CI/CD pipelines.
- Experience managing a technical team

Responsibilities

- Provide hands-on technical leadership across the PMDE team, acting as a technical authority for data architecture and engineering decisions, and fostering a culture of excellence, collaboration, and continuous improvement.
- Architect and oversee the development of scalable, reliable data pipelines and analytics platforms, with accountability for end-to-end technical design, data, and long-term sustainability, with a strong focus on Snowflake, SQL, and Python.
- Influence technical prioritization and solution design based on business impact and strategic alignment, partnering with product and delivery leads on sequencing and trade-offs.
- Engage and communicate complex technical concepts to senior including making clear architectural recommendations
- Collaborate with business stakeholders to translate strategic objectives into actionable data initiatives, ensuring alignment with Preqin’s and BlackRock’s broader vision.
- Champion best practices in data management, governance, and security, leveraging automation, cloud technologies, and modern engineering principles.
- Define engineering standards for ingestion patterns, staging models, schema evolution, data quality and data lineage.
- Manage a team of Data Engineers
- Drive the adoption of advanced analytics and AI/ML solutions, integrating technical innovation with business value.
- Oversee technical delivery and architectural coherence across initiatives, prioritizing work based on data-driven insights and business outcomes.
- Promote a collaborative environment, bridging the gap between technical and business teams.

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