Data Architect; Azure

The Data Architect is responsible for enterprise-wide data design, balancing optimization of data access with batch loading and resource utilization factors. Knowledgeable in most aspects of designing and constructing data architectures, operational data stores, and data marts. Focuses on enterprise-wide data modeling and database design. Defines data architecture standards, policies and procedures for the organization, structure, attributes and nomenclature of data elements, and applies accepted data content standards to technology projects.

Responsible for business analysis, data acquisition and access analysis and design, Database Management Systems optimization, recovery strategy and load strategy design and implementation.

Responsibilities:

• Evaluate and recommend data management processes.
• Design, prepare and optimize data pipelines and workflows.
• Lead implementations of secure, scalable, and reliable Azure solutions.
• Observe and recommend how to monitor and optimize Azure for performance and cost-efficiency.
• Endorse and foster security best practices, access controls, and compliance standards for all data lake resources.
• Perform knowledge transfer about troubleshooting and documenting Azure architectures and solutions.

Qualifications:

• Deep understanding of Azure Synapse Analytics, Azure Data Factory, and related Azure data tools.
• Expertise in implementing Data Vault 2.0 methodologies using Wheres cape automation software.
• Proficient in designing and optimizing fact and dimension table models.
• Demonstrated ability to design, develop, and maintain data pipelines and workflows.
• Strong skills in formulating, reviewing, and optimizing SQL code.
• Expertise in data collection, storage, accessibility, and quality improvement processes.
• Proven track record of delivering consumable data using information marts.
• Excellent communication skills to effectively liaise with technical and non-technical team members.
• Ability to document designs, procedures, and troubleshooting methods clearly.
• Proficiency in Python or Power Shell preferred.
• Bachelor's or Master's Degree in Computer Science, Information Systems, or other related field, or equivalent work experience.
• A minimum of 7 years of experience with large and complex database management systems.

About our Company

Data Soft Technologies is a highly recognized provider of professional IT Consulting services in the US. Founded in 1994, Data Soft Technologies, Inc. provides staff augmentation services for Information Technology and Automotive Services. Our team member benefits include:

• Paid Holidays/Paid Time Off (PTO)
• Vision Insurance
• Short-Term/Long-Term Disability
• Life Insurance

Mid-Senior level

Contract

Information Technology

IT Services and IT Consulting