Principal Data Architect

Job Posting Title: Data Architect

Workday Job Profile: Principal IS Architect

Department Name: Digital, Technology & Innovation

Role GCF: 06A

Role Description:

The role is responsible for developing and maintaining the data architecture of the Enterprise Data Fabric. Data Architecture includes the activities required for data flow design, data modeling, physical data design, query performance optimization.

The Data Architect is a senior-level position responsible for developing business information models by studying the business, our data, and the industry. This role involves creating data models to realize a connected data ecosystem that empowers consumers. The Data Architect drives cross-functional data interoperability, enables efficient decision-making, and supports AI usage of Foundational Data. This role will manage a team of Data Modelers.

Roles & Responsibilities:

• Provide oversight to data modeling team members.
• Develop and maintain conceptual logical, and physical data models and to support business needs
• Establish and enforce data standards, governance policies, and best practices
• Design and manage metadata structures to enhance information retrieval and usability
• Maintain comprehensive documentation of the architecture, including principles, standards, and models
• Evaluate and recommend technologies and tools that best fit the solution requirements
• Evaluate emerging technologies and assess their potential impact.
• Drive continuous improvement in the architecture by identifying opportunities for innovation and efficiency

Basic Qualifications and Experience:

[GCF Level 6A]

• Doctorate Degree and 8 years of experience in Computer Science, IT or related field OR
• Masters degree with 12 - 15 years of experience in Computer Science, IT or related field OR
• Bachelors degree with 14 - 17 years of experience in Computer Science, IT or related field

Functional Skills:

Must-Have Skills :

• Data Modeling: Expert in creating conceptual, logical, and physical data models to represent information structures.
• Ability to interview and communicate with business Subject Matter experts to develop data models that are useful for their analysis needs.
• Metadata Management: Knowledge of metadata standards, taxonomies, and ontologies to ensure data consistency and quality.
• Information Governance: Familiarity with policies and procedures for managing information assets, including security, privacy, and compliance.
• Hands on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), performance tuning on big data processing

Good-to-Have Skills:

• Experience with Graph technologies such as Stardog, Allegrograph, Marklogic

Professional Certifications

• Certifications in Databricks are desired

Soft Skills:

• Excellent critical-thinking and problem-solving skills
• Strong communication and collaboration skills
• Demonstrated awareness of how to function in a team setting
• Demonstrated awareness of presentation skills

Shift Information:

This position requires you to work a later shift and may be assigned a second or third shift schedule. Candidates must be willing and able to work during evening or night shifts, as required based on business requirements.