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Tiger Analytics

Data Quality Architect

Reposted 11 Days Ago
Be an Early Applicant
Remote
2 Locations
Senior level
Remote
2 Locations
Senior level
The Data Quality Architect will assess and enhance data quality processes, design scalable architectures, create strategic roadmaps, and ensure data compliance and integrity.
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Description

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Engineering, Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

Key Responsibilities:

DG architect needs to play a key role in understanding the data quality implementation, framework and suggest roadmap for maturity along with building architecture for DQ management. Architect's key responsibilities would be 

  • Assessing the current DQ process, identifying gaps and recommending improvements.
  • Design scalable architecture for DQ management using DQ tools(Collibra preferred), Service now etc.
  • Create strategic roadmaps to align DQ initiatives  with org objectives.
  • Establish an operating model , governance policies, ensuring data integrity, ownership  and compliance
  • Collaborate with multiple teams to drive DQ solution and continuous monitoring.
  • Proficiency building issue and defect management frameworks preferred.
Requirements
  • 10+ years of experience in data governance, data management, or related fields.
  • Proven track record of leading cross-functional teams and implementing data quality programs.
  • Knowledge of industry leading data quality and data protection management practices
  • Knowledge of data quality practices, business and technology issues related to management of enterprise information assets and approaches related to data protection
  • Responsible for designing, establishing, and implementing data quality framework (Policies, standards, documentation, definitions, processes, and templates etc.)
  • Proficient in tools such as Collibra, Informatica, Alation, or other data governance platforms.
Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Top Skills

Alation
Collibra
Data Governance
Data Management
Informatica
Servicenow

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