Description

**Job Brief:**
We are seeking a highly skilled data quality architect with expertise in Hadoop, Informatica Data Quality, Informatica Enterprise Data Preparation, Informatica PowerCenter, SQL, and other relevant technologies. The ideal candidate will have a minimum of 10 years of experience in the software engineering industry and a proven track record of designing and implementing data quality solutions.

**Roles:**
1. Designing and implementing data quality frameworks using Hadoop, Informatica Data Quality, Informatica Enterprise Data Preparation, and Informatica PowerCenter.
2. Collaborating with cross-functional teams to define data quality requirements and ensure alignment with business objectives.
3. Developing data quality standards, policies, and procedures to ensure data accuracy, consistency, and reliability.
4. Conducting data quality assessments and audits to identify and address data quality issues.
5. Providing technical guidance and mentorship to junior team members on data quality best practices and methodologies.

**Responsibilities:**
1. Designing and implementing data quality solutions that meet business requirements and comply with industry standards.
2. Developing and maintaining data quality processes, workflows, and documentation.
3. Collaborating with data engineers, data scientists, and other stakeholders to ensure data quality standards are met throughout the data lifecycle.
4. Monitoring and optimizing data quality performance to ensure data integrity and reliability.
5. Troubleshooting data quality issues and implementing corrective actions as needed.
6. Staying current on data quality trends, tools, and technologies to continuously improve data quality practices.

**Skills:**
1. Expertise in Hadoop, Informatica Data Quality, Informatica Enterprise Data Preparation, Informatica PowerCenter, SQL, and other relevant technologies.
2. Strong analytical and problem-solving skills with a keen attention to detail.
3. Excellent communication and interpersonal skills to collaborate with cross-functional teams.
4. Proven experience in designing and implementing data quality solutions in a complex, enterprise environment.
5. Ability to work independently and as part of a team to deliver high-quality results on time and within budget.