Data Architect Senior Manager

Data Architect:

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 requirements, outlines high-level integrated designs to meet those requirements, 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 requirements and improve databases to work faster and handle more data efficiently.
• Stay up to date with developments in the data analytics industry

Responsibilities:

• Translating business requirements 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 qualifications:

• Must understand the system development life cycle, project management approaches, and requirements, 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 Qualifications:

• Proven 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

Skills and Expertise:

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

Other Requirements:

• Proven 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