Senior Data Solution Architect-Data Fabric/Mesh

Introduction

As an IBM Application Architect, you directly help clients transform their business and solve complex problems. You will define the scope and vision for projects that deliver customized solutions using your knowledge of IBM platforms. You are a technical leader, serving as a liaison among business partners, technical resources, and project stakeholders.

Your Role and Responsibilities

Data Solution Architect supporting data transformation approach leveraging Data Fabric and Mesh concepts for modernized/transformed US Govt programs. The Data Solution Architect will work on large, complex US Govt programs where the lifecycle of data needs to be addressed and an overall data platform or capability needs to be integrated with an overall technical solution including leading design, prototyping, and pilot implementation as well as estimation of lifecycle solution scope and cost elements.

The Data Solution Architect must have familiarity with traditional data technologies (Data Warehouse, Data Lake) as well as transformative capabilities such as Data Lakehouse, Data Fabric, and Data Mesh in order to define go-forward strategies which are compliant for US Govt clients - including addressing Federal Cloud security requirements, data privacy, data security, and data integration approaches which are approved for US Govt use.

During implementation, the Data Solutions Architect will work with both the broader IBM Consulting data leadership team and key project stakeholders to gather data requirements, define, and execute the data strategy. You will help lead multiple agile sprints to support the execution of data management, data cataloging, and ETL/Data Conversion activities leading into building of a modernized Data Fabric and Platform that supports and feeds business benefits including automation, AI/ML, analytics, and data visualization efforts.

The Data Solution Architect will be responsible for:

• Requirements capture (functional, and non-functional)

• Designing technical solution for data including data ingestion, integration, transformations, and storage

• Help design data management and data governance implementations

• Develop and recommend modern architecture components in support of data catalogs, data governance, data pipelines, and data storage for consumption by data analysts and data scientists

• Successfully implement the recommended data architecture for a given use case

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Required Technical and Professional Expertise

• At least 5 years of professional experience in data architecture

• Experience with data architecture, data modeling, schema design, and development

• Data Fabric/Mesh/Lakehouse Architecture implementation experience or deep knowledge

• TOGAF, DODAF, or equivalent experience

• Must be a US Citizen

• Strong knowledge in ETL methods and tools

Preferred Technical and Professional Expertise

• Experience with Public Sector Clients (US Federal, Higher Education, State and Local Governments)
• Experience and knowledge working with Data Catalogs (e.g. Watson Knowledge Catalog, Collibra, Apache Atlas)
• Experience working with Data Warehouse technologies (e.g. Redshift, Snowflake)
• Experience with cloud platforms e.g. AWS, Azure or GCP. Understanding of cloud based analytics services. Programming and scripting: SQL/Python/Scala for data transformation and analysis. Bash/PowerShell for automation