Head of Data Architecture & Enterprise Data Strategy

Socket.dev; New York (NY); On-site; USD 200,000 - 300,000; Full time

Job summary

MOrgan Stanley Investment Management (MSIM) is seeking a Head of Data Architecture to define the enterprise data strategy, architecture standards, and roadmaps across public and private markets. The role collaborates with business, technology, and governance teams to enable trusted data, analytics, and AI across the firm.

You will drive enterprise data products, prioritise data architecture initiatives, and set principles to support scalable, secure and compliant data platforms, including data

Qualifications

• Experience designing enterprise data architectures across domains.
• Strong communication with business and tech stakeholders.
• Knowledge of data mesh, data products, and governance concepts.

Responsibilities

• Define and maintain enterprise data architecture and standards.
• Develop target-state architectures and multi-year roadmaps for data platforms.
• Establish patterns for data ingestion, transformation, storage, and distribution.
• Design architectures for cloud, data lake, warehouse, streaming, and APIs.
• Define standards for data domains, metadata, lineage, and interoperability.
• Establish end-to-end data lineage across critical data flows.
• Collaborate with data engineering to implement scalable architectures.
• Support BI, analytics, ML, and AI use cases with data architecture.
• Embed governance, privacy, security, and regulatory controls.
• Evaluate tech choices balancing scalability, resilience, and cost.
• Lead architecture reviews and guide major data initiatives.

Skills

Data architecture

Stakeholder management

Cloud platforms

Data governance

Big data

Education

Bachelor's degree in CS or related

Tools

Snowflake

Databricks

Spark

Kafka

Job description

MOrgan Stanley Investment Management (MSIM) is seeking a Head of Data Architecture to define the enterprise data strategy, architecture standards, and roadmaps across public and private markets. The role collaborates with business, technology, and governance teams to enable trusted data, analytics, and AI across the firm.

You will drive enterprise data products, prioritise data architecture initiatives, and set principles to support scalable, secure and compliant data platforms, including data