Data Architect Senior Manager

The Data Architect can translate business

into technology

and define data standards and principles, often in support of data or digital transformations

The data architect is responsible for visualizing and designing an organization’s enterprise data management framework

This framework describes the processes used to plan, specify, enable, create, acquire, maintain, use, archive, retrieve, control, and purge data

The Data Architect also “provides a standard common business vocabulary, expresses strategic

, outlines high-level integrated designs to meet those

, and aligns with enterprise strategy and related business architecture,” according to DAMA International’s Data Management Body of Knowledge (DAMA-DMBOK)

Objectives of this role Designing, creating, deploying, and managing AXA’s data architecture

Make sure that data is accessible, secure, and reliable by developing and maintaining data frameworks, models, and policies

Understand the overall data

and improve databases to work faster and handle more data efficiently

Stay up to date with developments in the data analytics industry

Translating business

into technical specifications, including data streams, integrations, transformations, databases, and data warehouses Defining the data architecture framework, standards, and principles, including modeling, metadata, security, reference data such as product codes and client categories, and master data such as clients, vendors, materials, and employees Defining reference architecture, which is a pattern others can follow to create and improve data systems Defining data flows, i.e., which parts of the organization generate data, which require data to function, how data flows are managed, and how data changes in transition Collaborating and coordinating with multiple departments, stakeholders, partners, and external vendors Skills and

Must understand the system development life cycle, project management approaches, and

, design, and test techniques

Understands established data management and reporting technologies, and have some knowledge of columnar and NoSQL databases, predictive analytics, data visualization, and unstructured data

Solid understanding of the cloud, databases, and the applications and programs used by those databases

Familiarity with the Azure ecosystem, specifically Azure Data Lake Storage (ADL), Azure Data Factory (ADF), Azure Analysis Services (AAS) and Azure Databricks Understand data modeling and design, including conceptualization and database optimization, and demonstrate a commitment to continuing education

People skills

Must be articulate, persuasive, and good salespeople, must conceive and portray the big data picture to stakeholders

Preferred

With a minimum of 8 years proven work experience as a data architect/engineer or similar role Excellent communication and collaboration skills Innovative mind with a passion for continuous learning Familiarity with the DAMA-DMBOK framework General knowledge of building a data warehouse Bachelor’s degree (or equivalent) in computer science, mathematics, or related field