Delivery Manager-Aladdin Data Cloud Engineer
Acuity Knowledge Partners · Gurugram · onsite · Posted 31d ago
Not disclosed8–10 yrsfulltimeSourced from
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About this role
Job Purpose
We are seeking an experienced Aladdin Data Cloud Engineer to design, build, and operate scalable, cloud-native data platforms supporting the BlackRock Aladdin ecosystem. This role combines Data Engineering, Snowflake, Cloud Engineering, and Platform Engineering to deliver robust data ingestion, transformation, orchestration, and data-serving capabilities. The successful candidate will work across the data and cloud stack to enable secure, resilient, and high-performance investment data solutions that support portfolio management, risk, and investment operations.
Key Responsibilities
Key competencies
Required Skills
We are seeking an experienced Aladdin Data Cloud Engineer to design, build, and operate scalable, cloud-native data platforms supporting the BlackRock Aladdin ecosystem. This role combines Data Engineering, Snowflake, Cloud Engineering, and Platform Engineering to deliver robust data ingestion, transformation, orchestration, and data-serving capabilities. The successful candidate will work across the data and cloud stack to enable secure, resilient, and high-performance investment data solutions that support portfolio management, risk, and investment operations.
Key Responsibilities
- Design, develop, and maintain data pipelines and integrations within the Aladdin Data Cloud ecosystem.
- Build and optimize scalable data solutions using Snowflake and cloud-native technologies.
- Develop ETL/ELT frameworks for ingesting, transforming, and distributing investment and market data.
- Integrate Aladdin data with enterprise data warehouses, data lakes, analytics platforms, and downstream applications.
- Implement data quality, governance, lineage, security, and observability frameworks.
- Develop APIs and data services to enable access to portfolio, risk, security master, and reference data.
- Collaborate with investment operations, portfolio management, risk, and technology teams to translate business requirements into technical solutions.
- Monitor, troubleshoot, and support production data platforms and critical business workflows.
- Drive automation, platform reliability, performance tuning, and operational excellence.
Key competencies
Required Skills
- Bachelor's or Master's degree in Computer Science, Engineering, IT, Finance, or related field
- 8+ years of experience with Data Engineering, Cloud Engineering, or Investment Technology
- 2+ years of experience with Aladdin, Aladdin Data Cloud, or asset management platforms
- Strong understanding of Investment Management, Portfolio & Position Data, Risk Analytics, Security Master, Reference Data, Market Data, and Investment Operations
- Hands-on experience with BlackRock Aladdin / Aladdin Data Cloud
- Expertise in Snowflake (Architecture, Data Modeling, Snowpipe, Streams & Tasks, Performance Tuning, Data Sharing).
- Strong proficiency in Python and SQL.
- Experience building scalable ETL/ELT pipelines and data orchestration frameworks.
- Experience with cloud platforms (Azure, AWS, or GCP).
- Knowledge of REST APIs, microservices, CI/CD, Git, and DevOps practices.
- Experience with Databricks, Microsoft Fabric, Azure Data Factory, Airflow, or similar data engineering tools.
- Familiarity with financial data providers such as Bloomberg, FactSet, MSCI, ICE, or Refinitiv.
- Knowledge of data governance, metadata management, data lineage, and real-time/event-driven architectures.
- Experience working in Agile environments
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Skills
Aladdin Data CloudPerformance Tuninggoogle cloud platformamazon web serviceseltSnowflake architectureDevOps practicesAladdinTasksdata sharingPythonSQLREST APIMicroservicesSnowpipeETLStreamsMicrosoft AzureData ModelingGITCi/CdData Orchestration Frameworks
About Acuity Analytics

Acuity Knowledge Partners
Analytics & KPO
5k+
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2002
24 years old
Gurgaon / Gurugram, Haryana
India
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Acuity Analytics is a trusted partner to 850+ global financial firms, with 7,200+ people across 28 locations. We accelerate innovation through Digital Engineering, Data and AI.
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