Data Architect - Investment Data & Analytics

AllianceBernstein L.P.; Nashville (TN); On-site; USD 150,000 - 210,000; Full time

Job summary

AllianceBernstein L.P. is seeking an experienced Data Architect to lead the design, governance, and evolution of the firm’s investment data architecture in Nashville.

The role focuses on scalable analytics, AI-enabled insights, and self-service data consumption, bridging business, investment stakeholders, and technology teams. You will define target-state architecture, model data for portfolios, research, trading, risk, and attribution analytics, and govern data products and semantic layers for

Qualifications

• Bachelor's degree in CS/IS/Engineering/Data Science or related field.
• Master's degree preferred.
• 10+ years in data architecture, data modeling, or enterprise data management.
• Experience designing analytical data platforms and data warehouses.
• Strong Snowflake experience and cloud-based data ecosystems.

Responsibilities

• Define target-state architecture for investment data platforms and analytics.
• Design logical, physical, and conceptual data models.
• Govern semantic layers, metadata, and data products.
• Ensure data supports reporting and self-service analytics.
• Collaborate with portfolio managers, researchers, risk teams, and technology partners.

Skills

Data Architecture

Snowflake

SQL

Dimensional Modeling

Data Governance

Metadata Management

Power BI

Cloud Platforms

GenAI Awareness

Education

Bachelor's degree in Computer Science/Information Systems/Engineering/Data Science

Master's degree preferred

Tools

Snowflake

Power BI

Microsoft Purview

AWS/Azure

Job description

Who You'll Work With

The Data Architect will lead the design, governance, and evolution of the firm's investment data architecture, enabling scalable analytics, reporting, AI-driven insights, and self-service data consumption. This role serves as the bridge between business, investment stakeholders, and technology teams, ensuring that data is modeled, governed, documented, and structured to support modern investment processes and future AI-enabled capabilities. The role combines deep expertise in data architecture, Snowflake modeling, semantic layer design, metadata management, governance, and investment data domains.

What You'll Do

Enterprise Data Architecture

Define and maintain target-state architecture for investment data platforms and analytical ecosystems. Design logical, physical, and conceptual data models that support portfolio management, research, trading, risk, performance, and attribution analytics. Establish architecture standards, design patterns, and best practices across investment technology. Drive domain-based architecture and data product strategies aligned with enterprise objectives.

Data Modeling & Snowflake Architecture

Architect and maintain scalable Snowflake data structures optimized for analytics and AI consumption. Design dimensional, domain-oriented, and consumption-focused data models. Develop and govern semantic layers, curated views, and reusable analytical data products. Ensure data models support reporting platforms, self-service analytics, and downstream applications.

Data Governance & Quality

Define enterprise standards for metadata, lineage, data definitions, and business glossaries. Establish data quality frameworks, reconciliation controls, and validation processes. Partner with governance, security, and compliance teams to ensure controlled and governed data access. Promote adoption of enterprise data catalogs and metadata management practices.

AI-Ready Data Foundations

Architect data structures that support natural language querying, AI-assisted analytics, and generative AI solutions. Define semantic frameworks that make business and technical context discoverable and reusable. Ensure data and metadata are structured for AI, agent-based access, and future intelligent applications. Partner with AI and analytics teams to enable contextual, cross-domain data experiences.

Documentation & Knowledge Management

Establish standards for documenting data architecture, models, lineage, business definitions, and usage patterns. Create and maintain architecture diagrams, data flow documentation, data dictionaries, and technical specifications. Ensure architecture artifacts remain accurate, discoverable, and aligned with evolving business processes. Champion documentation practices that support both human users and AI-enabled knowledge retrieval.

Stakeholder & Business Partnership

Collaborate with portfolio managers, researchers, risk teams, operations, and technology partners to understand data requirements. Translate business objectives into scalable architectural solutions. Lead architecture reviews and provide guidance on technology and data strategy decisions. Communicate complex architectural concepts effectively to both technical and non-technical audiences.

What We're Looking For

Education

Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or related discipline. Master's degree preferred.

Experience

10+ years of experience in data architecture, data modeling, or enterprise data management. Significant experience designing analytical data platforms and data warehouses. Strong experience with Snowflake and cloud-based data ecosystems. Experience within financial services, asset management, or investment technology preferred.

Technical Skills

• Data Architecture
• Enterprise data architecture frameworks and best practices.
• Logical, conceptual, and physical data modeling.
• Domain-driven design and data product architecture.
• Data lifecycle and information management practices.
• Snowflake & Modern Data Platforms
• Snowflake architecture and performance optimization.
• Advanced SQL and analytical modeling techniques.
• Data warehouse and lakehouse architecture patterns.
• Experience with cloud data platforms and modern analytics ecosystems.
• Analytics & Semantic Modeling
• Dimensional modeling (star and snowflake schemas).
• Semantic layer design and business-friendly data abstractions.
• Power BI and analytics platform integration.
• Self-service analytics enablement.
• Governance & Metadata
• Data lineage, metadata management, and business glossaries.
• Microsoft Purview or equivalent governance platforms.
• Data quality frameworks and validation methodologies.
• Access controls and governed data consumption patterns.
• AI & Emerging Technologies
• Understanding of AI-enabled analytics and natural language data access.
• Knowledge of semantic modeling and retrieval architectures.
• Experience supporting AI-ready data ecosystems and knowledge management strategies.
• Familiarity with GenAI, agent-based solutions, and data discoverability concepts.

Investment Domain Knowledge

Strong understanding of one or more of the following domains: Fixed Income; Equities.

About AB

We are a leading global investment management firm offering high-quality research and diversified investment services to institutional clients, retail investors, and private-wealth clients in major markets around the globe. With over 4,000 employees across 57 locations operating in 26 countries and jurisdictions, our ambition is simple: to be the most trusted investment firm in the world. We realize that it's our people who give us a competitive advantage and drive success in the market, and our goal is to create an inclusive culture that rewards hard work. Our culture of intellectual curiosity and collaboration creates an environment where you can thrive and do your best work. Whether you're producing thought-provoking research, identifying compelling investment opportunities, infusing new technologies into our business or providing thoughtful advice to our clients, we are fully invested in you.

Nashville, Tennessee

We are a leading global investment management firm offering high-quality research and diversified investment services to institutional clients, retail investors, and private-wealth clients in major markets around the globe. With over 4,000 employees across 51 locations operating in 25 countries and jurisdictions, our ambition is simple: to be the most trusted investment firm in the world. We realize that it's our people who give us a competitive advantage and drive success in the market, and our goal is to create an inclusive culture that rewards hard work. Our culture of intellectual curiosity and collaboration creates an environment where you can thrive and do your best work. Whether you're producing thought-provoking research, identifying compelling investment opportunities, infusing new technologies into our business or providing thoughtful advice to our clients, we are fully invested in you.

Confidentiality Advisory

Please be advised that AB does not solicit confidential information from job applicants during the screening process, nor extend job offers without the candidate participating in a series of interviews to be properly considered for an open role. If you receive requests for confidential information, outside of the formal interviewing process even if the person asserts that they represent AB, we encourage you not to reply.