Director, Data Pipeline Engineering
BlackRock · Mumbai, Maharashtra, India
- On site
- Full-time
- $200,000 / year
- Mumbai, Maharashtra, India
Job highlights
- Lead global alternative data pipeline engineers.
- Build and maintain core data infrastructure.
- Design scalable and reliable data systems.
- Collaborate with diverse stakeholders.
- Drive future state of alternative data.
About the role
Director of the Engineering Alternative Data Pipeline Chapter
The Director of the Engineering Alternative Data Pipeline Chapter leads a global team of talented engineers responsible for building and maintaining the core infrastructure that ingests data and transforms it into investable portfolios. You will support, maintain, design, develop, and deploy scalable and reliable systems that process into multiple Aladdin BlackRock and client instances every day. Partner with a wide range of product, technical, business, and leadership stakeholders to define and build the future state for Alternative data at BlackRock.
Responsibilities
- Manage, mentor, and grow a team of alternative data pipeline engineers, ensuring high performance and career development.
- Establish and enforce best practices, code quality standards, agile development methods, CI/CD procedures, and testing frameworks.
- Architect and implement solutions optimizing performance, reliability, and scalability.
- Provide level-3 support to troubleshoot issues related to alternative data pipeline operations, availability, and latency.
- Collaborate and negotiate with other engineering leaders, product managers, operations personnel, senior leadership, and business stakeholders to prioritize the development backlog.
- Research and evaluate innovative technologies and trends in data engineering and transform legacy processes onto our Enterprise Data Platform (Snowflake, dbt, Airflow, Python).
- Manage and oversee the work of contingent workers and manage budget and turnover with outsourcing providers.
Qualifications
- BS/MS in Computer Science or related field, or equivalent work experience.
- Graduate degree in Finance or MBA is highly desirable.
- Experience in Financial Services (Investment Banking, Alternative data, Treasury, or Asset Management).
- Experience with Financial Service vendor data and data exchange mechanisms.
- Excellent communication, collaboration, and problem-solving skills.
- Outstanding managerial skills with the ability to navigate challenging team dynamics across global time zones.
- Ability to manage up, down, and across to negotiate priorities, resources, and joint development.
- Ability to build and nurture a broad network beyond your management chain.
- 12+ years of experience in big data, data warehousing, data lakes, data architecture, data engineering, with at least 5 years in a significant leadership role.
- Strong knowledge of ETL/ELT tools and processes, relational databases, advanced SQL development, data modeling, and advanced data pipeline architectures.
- Development experience in multiple programming languages; proficiency in Python highly desirable. Exposure to Perl would be very beneficial.
- Strong understanding of and experience with DataOps concepts, CI/CD, ADO/Git repo management, release management, and Agile software development practices.
- Experience with big data technologies (Hadoop, Spark, Kafka, or Elasticsearch).
- Experience with cloud platforms (AWS, GCP, or Azure) and data warehouse solutions (Snowflake). Azure and Snowflake strongly preferred.
Our Benefits
We offer a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents, and Flexible Time Off (FTO).
Our hybrid work model
Employees are required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some groups may require more in-office time. This model accelerates learning and onboarding.
About BlackRock
BlackRock's mission is to help more people experience financial well-being. We support clients saving for retirement, education, and businesses. Our investments strengthen the global economy and support businesses, infrastructure, and innovation. We invest in our employees, creating an environment where colleagues feel welcomed, valued, and supported.
Key skills/competency
- Data Pipeline Engineering
- Team Leadership
- Financial Services
- Big Data Technologies
- Cloud Platforms
- ETL/ELT Processes
- Python Development
- Agile Methodologies
- Data Architecture
- Problem Solving
Skills & topics
- Data Engineering
- Director
- Data Pipeline
- Alternative Data
- BlackRock
- Python
- Snowflake
- Cloud Engineering
- Big Data
- Financial Services
- Team Leadership
- ETL
- ELT
- Data Architecture
- Agile
- DataOps
How to get hired
- Tailor your resume: Highlight relevant experience in data engineering, financial services, and leadership roles, using keywords from the job description like 'alternative data', 'data pipeline', 'Python', and 'Snowflake'.
- Craft a compelling cover letter: Emphasize your managerial skills, experience with global teams, and understanding of dataOps and Agile methodologies to showcase your fit for the Director role at BlackRock.
- Prepare for technical interviews: Brush up on data warehousing, ETL/ELT processes, advanced SQL, Python, and big data technologies (Spark, Kafka). Be ready to discuss your experience with cloud platforms like AWS, GCP, or Azure, and Snowflake.
- Demonstrate leadership and collaboration: During behavioral interviews, provide specific examples of how you've managed, mentored, and grown engineering teams, navigated complex stakeholder relationships, and driven project success in a financial services environment.
- Research BlackRock: Understand their mission, values, and the Aladdin platform to articulate how your leadership and technical expertise align with their goals for alternative data.
Technical preparation
Master Python and SQL for data manipulation.,Study Snowflake and enterprise data platforms.,Review big data tools: Spark, Kafka.,Understand DataOps, CI/CD, and Agile.
Behavioral questions
Describe leading a global engineering team.,Share an experience managing complex stakeholder needs.,How do you enforce best practices and quality?,Discuss a time you optimized data pipeline performance.
Frequently asked questions
- What is the primary responsibility of the Director, Data Pipeline Engineering at BlackRock?
- The Director, Data Pipeline Engineering at BlackRock leads a global team responsible for building and maintaining the core infrastructure for ingesting and transforming alternative data into investable portfolios for the Aladdin platform.
- What qualifications are most important for the Director, Data Pipeline Engineering role at BlackRock?
- Key qualifications include a BS/MS in Computer Science, extensive experience (12+ years) in data engineering with at least 5 years in leadership, strong knowledge of ETL/ELT, SQL, Python, big data technologies, cloud platforms (AWS, Azure, GCP), Snowflake, and DataOps concepts. Financial services experience is highly desirable.
- What is BlackRock's approach to hybrid work for this Director role?
- BlackRock utilizes a hybrid work model requiring employees to work at least 4 days per week in the office, with 1 day for remote work. This model is designed to foster collaboration and accelerate learning and onboarding.
- What technologies are emphasized for the Director, Data Pipeline Engineering position at BlackRock?
- The role emphasizes experience with Enterprise Data Platforms including Snowflake, dbt, Airflow, and Python. Proficiency in Python is highly desirable, and exposure to Perl is beneficial. Experience with big data technologies like Spark, Kafka, and cloud platforms (AWS, GCP, Azure) is also crucial.
- How does BlackRock support employee development for a Director role?
- BlackRock offers various benefits, including tuition reimbursement and development opportunities, to help employees thrive. The hybrid work model is also designed to accelerate learning and onboarding for new joiners.
- What is the expected seniority level for the Director, Data Pipeline Engineering role?
- This is a senior leadership role requiring 12+ years of experience in data engineering, with a minimum of 5 years in a significant leadership capacity, indicating a senior or director-level position.
- How can I best prepare for the technical interview for the Director, Data Pipeline Engineering job at BlackRock?
- Prepare by reviewing your experience with data warehousing, ETL/ELT, advanced SQL, Python, big data tools (Spark, Kafka), and cloud platforms (AWS, Azure, GCP), especially Snowflake. Be ready to discuss your architectural decisions and problem-solving approaches for complex data pipelines.