Requirement Type

Open Date

Start Date

Short Description:
TAMR Master Data Management (MDM) Architect - Remote

Comments

Deloitte
Salary - Market

Description:

Role: TAMR Master Data Management (MDM) Architect
Remote - need to work in PST zone
Full time

Skills and attributes:
AWS Data Analytics Specialty
AWS Python
Coding - Python
Master Data Management (MDM)
Snowflake (Data Warehouse)
Description
TAMR Master Data Management (MDM) Architect will act as a lead and will be responsible for designing end-to-end data solutions leveraging a mult-cloud environment comprising Tamr, AWS, and Snowflake. The Architect should have exceptional modeling skills, and ability to roll their sleeves up when working with Data Engineering teams.

Responsibilities:
• Collaborate with clients to understand their data integration needs and requirements.
• Design, develop, and implement data integration solutions using TAMR platform.
• Configure and customize TAMR workflows, data models, and matching rules to ensure accurate and efficient data integration.
• Develop and maintain data pipelines using Python for extracting, transforming, and loading data from Snowflake into TAMR.
• Perform data quality analysis and identify opportunities for data cleansing and enrichment.
• Collaborate with cross-functional teams including data engineers, data scientists, and business analysts to deliver comprehensive data integration solutions.
• Conduct testing and troubleshooting of data integration processes to ensure data accuracy and integrity.
Qualifications:
• Bachelor’s degree in Computer Science, Information Systems, or a related field.
• 3-5 years of hands-on experience in data integration projects, using TAMR.
• Strong proficiency in Python programming language for data transformation.
• Experience working with cloud platforms such as AWS, including data storage, compute, and analytics services.
• Familiarity with Snowflake data warehouse and its integration with data integration tools.
• Solid understanding of data integration concepts, data modeling, and ETL/ELT processes.
• Knowledge of data quality assessment and data governance practices.
• Strong analytical and problem-solving skills with the ability to handle complex data integration challenges.
• Excellent communication and collaboration skills to work effectively with clients and cross-functional teams.
• Ability to adapt to a fast-paced and dynamic work environment.