Vice President - Data Engineering, Aladdin Data
BlackRockThis role is no longer listed. BlackRock took the posting down on Oct 7, so applying now won't reach anyone. It stays here for your saved list and any links you shared.
Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessLog in to see why each signal reads the way it does.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and maintain scalable, reliable, high-performance data pipelines supporting enterprise data products across the organization.
Provide technical leadership for complex data engineering initiatives, mentor junior engineers, and influence architecture and engineering best practices.
Drive optimization of data ingestion, transformation, and publishing processes ensuring adherence to data quality, security, governance, and cost objectives.
Minimum Requirements
7+ years experience designing, building, and delivering enterprise-scale data engineering solutions with demonstrated technical leadership.
4+ years programming experience in Java, Python, or Scala, including PySpark and creating/supporting UDFs and modules like pytest.
4+ years working with big data frameworks including Spark, Hive on Spark, Yarn, and experience with SQL, No-SQL, Transact SQL, and Snowflake implementations.
Experience with data governance, metadata management, deployment and administration on Cloud platforms (preferably AWS or Azure), and CI/CD pipelines for data automation.
Ideal Candidate Profile
Experienced in leading global, cross-functional engineering teams in building complex, scalable data platforms and reusable data engineering frameworks.
Proficient in advanced data pipeline architecture including batch and real-time ingestion and transformation with strong operational focus on performance and reliability.
Skilled in integrating data governance, data quality automation (e.g., Great Expectations), and API design (Swagger/OpenAPI) within enterprise data platforms in a cloud/hybrid environment.
