Enterprise Data Management – Data Cloud, Senior Developer I

The Enterprise Data Management (EDM) organization is responsible for Neuberger Berman’s VantageIQ data platform, the foundation of the firm’s data product and analytics strategy. We are seeking a senior data cloud engineer to lead the design, development, and deployment of scalable, reusable data pipelines and data products, with a focus on building semantic data layers to empower business stakeholders and AI-driven analytics across the asset management domain. The successful candidate will collaborate closely with business and technology teams to translate complex data requirements into robust, cloud-native engineering solutions, leveraging modern data engineering practices and advanced automation frameworks.

Responsibilities:

• Partner with business stakeholders and technology teams to gather and analyze requirements, identify data engineering challenges, and translate them into robust data pipeline and data product solutions.

• Architect, develop, and maintain scalable data pipelines and semantic data layers in Snowflake, dbt, and other cloud-native platforms, ensuring modularity and reusability across diverse analytics and AI initiatives.

• Design and build semantic layers to enable self-service analytics, advanced reporting, and seamless integration with AI-powered data analyst solutions.

• Develop and optimize ETL/ELT workflows using modern data stack technologies (e.g., dbt, Python, Snowflake), ensuring high reliability, scalability, and performance.

• Integrate and automate AI data analyst capabilities on top of semantic data layers and data products, driving innovative use cases for insight generation and business automation.

• Enhance data models (relational, dimensional, and semantic) to support advanced analytics, and AI driven data applications.

• Contribute to the evolution of data platform architecture, including data fabric and centralized data access automation.

• Promote and uphold data engineering best practices, standards, and data governance throughout the organization.

• Implement CI/CD pipelines and best practices for data engineering assets, supporting robust deployment, monitoring, and version control.

• Collaborate cross-functionally with Data Governance, Data Platform, and AI teams to deliver high-impact data solutions.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or related field.

• 10+ years of experience in data engineering, cloud data platform development, or analytics engineering roles.

• Deep experience designing, building, and optimizing data pipelines, semantic layers, and cloud-native data products, preferably Snowflake, dbt, Dremio.

• Advanced proficiency in SQL and Python with extensive hands-on experience with modern data engineering tools and frameworks such as Spark, Airflow, and cloud-native services (Snowflake, AWS)

• Experience developing and deploying containerized data solutions using Docker and Kubernetes would be preferable.

• Proven ability to architect and maintain semantic data layers, ETL/ELT workflows, and integrate cloud data platforms for AI and analytics use cases.

• Familiarity with semantic layer concepts, data modeling (relational, dimensional, and semantic), and AI enablement on data products.

• Experience with data fabric architectures and centralized data access automation is a plus.

• Proficiency in enterprise technology tools such as Azure DevOps, Azure Git, and Airflow.

• Excellent attention to detail, organizational skills, and ability to prioritize work in a dynamic, deadline-driven environment.

• Demonstrated ability to take ownership, work independently and as part of a team, and continuously learn new technologies.

• Experience with BI/visualization tools (Tableau, Power BI) is a plus but not the primary focus.

• Nice to have: Experience with Trading / IBOR / ABOR systems like Statestreet, Aladdin, Charles River, etc.

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Compensation Details

The salary range for this role is $125,000-$165,000. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. This range is only applicable for jobs to be performed in the job posting location. An employee’s pay position within the salary range will be based on several factors including, but limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, business sector, performance, shift, travel requirements, sales or revenue-based metrics, market benchmarking data, any collective bargaining agreements, and business or organizational needs. This job is also eligible for a discretionary bonus, which, along with base salary and retirement contributions, is part of our total comprehensive package. We offer a comprehensive package of benefits including paid time off, medical/dental/vision insurance, 401(k), life insurance and other benefits to eligible employees.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, production, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.

Neuberger Berman is an equal opportunity employer. The Firm and its affiliates do not discriminate in employment because of race, creed, national origin, religion, age, color, sex, marital status, sexual orientation, gender identity, disability, citizenship status or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact [email protected].

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