Atacama Architect (Remote),

About the position

The Atacama Architect role at Cognizant involves designing and implementing robust data management solutions to enhance data integrity and operational efficiency. The position requires a strong background in data quality, data management, and experience with Ataccama, Java, and Python. The architect will oversee the development of data quality frameworks, collaborate with cross-functional teams, and ensure compliance with data governance policies.

Responsibilities
• Design and implement data management solutions to enhance data integrity.
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• Oversee the development and maintenance of data quality frameworks using Ataccama.
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• Provide technical expertise in Java and Python for scalable data processing applications.
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• Collaborate with cross-functional teams to understand data requirements and translate them into technical specifications.
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• Ensure compliance with data governance policies and standards.
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• Develop and implement data quality metrics and monitoring systems.
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• Conduct regular data quality assessments and identify areas for improvement.
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• Implement best practices for data management and data quality assurance.
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• Provide guidance and mentorship to junior team members on data quality and management practices.
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• Work closely with stakeholders to ensure data solutions align with business objectives.
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• Participate in the evaluation and selection of data management tools and technologies.
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• Document data management processes and procedures for future reference.

Requirements
• Bachelor's degree in science, engineering, or equivalent.
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• 11+ years of experience in data management and data quality.
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• Strong background in Ataccama, Java, and Python.
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• Experience with cloud technologies such as Azure, AWS, and Snowflake.
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• Certified Data Management Professional (CDMP) certification is required.
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• Proven track record of implementing data quality frameworks.
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• Excellent problem-solving and analytical skills.
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• Strong communication and collaboration abilities.

Nice-to-haves
• Experience in developing and implementing data governance policies.
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• Hands-on experience with data profiling and data observability.
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• Experience in creating and managing visualization dashboards for data quality.

Benefits
• Paid parental leave
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• Employee stock purchase plan
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• Paid holidays
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• Disability insurance
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• Health insurance
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• Dental insurance
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• 401(k)
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• Paid time off
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• Vision insurance
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• Life insurance

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