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Our client is a prestigious global investment management firm based in Los Angeles and is seeking a Senior Data Engineer to join its Information Solutions team. This is a strategic, hands-on role responsible for building and maintaining scalable data pipelines and ensuring data quality, integration, and availability across the enterprise. You'll work with a modern Azure-based tech stack, enabling data-driven decision-making throughout the organization.
Key Responsibilities:

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  Design, build, and manage scalable data pipelines using Azure Data Factory, Azure Databricks, and other Azure services
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  Implement ELT/ETL pipelines transforming data across Bronze, Silver, and Gold layers
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  Manage and optimize data storage (Azure Data Lake Storage, Synapse, SQL Data Warehouse, Microsoft Fabric)
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  Develop data models aligned with business intelligence and reporting needs
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  Perform automated testing, QA, and DevOps practices for seamless development and deployment
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  Cleanse and transform data to ensure quality, consistency, and usability
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  Analyze business needs and identify opportunities to leverage Microsoft Azure Data & Analytics services

Technical Scope:

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  Orchestrate data flow from sources such as Bloomberg, FactSet, Morningstar, and internal systems
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  Leverage Azure Databricks for transformation, aggregation, and advanced data prep
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  Implement robust validation rules and quality checks throughout the pipeline lifecycle
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  Optimize storage/retrieval using appropriate Azure storage solutions based on performance and cost
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  Support collaboration with data scientists and analysts to meet evolving data needs
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  Maintain detailed documentation for data pipelines, models, and governance processes

Qualifications:

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  Bachelor’s degree in Computer Science, Finance, or a related field
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  10+ years of experience in data engineering and analytics
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  Deep understanding of asset management and investment data (e.g., AUM, attribution, benchmarks)
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  Familiarity with financial data sources (e.g., Bloomberg, FactSet, Morningstar, ESG, and alternative data)
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  Proven experience with data lakes, data warehouses, and cloud-native data platforms

Ideal Candidate Attributes:

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  Collaborative & Trusted – Strong relationship-building skills across technical and non-technical teams
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  Clear Communicator – Ability to convey complex concepts with clarity and precision
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  Self-Directed – Capable of working independently and driving initiatives with minimal oversight
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  Organized & Agile – Excels in fast-paced, shifting environments with multiple priorities
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  Problem Solver – Curious, detail-oriented, and driven by data quality and continuous improvement
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  Results-Oriented – Takes initiative, meets deadlines, and drives projects to completion
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  Sound Judgment – Balances business objectives with technical feasibility

Equal Opportunity Employer
Kinect is an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other protected characteristic under applicable federal, state, or local law.