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Data Architect - Business Intelligence (7-8 yrs)

7 - 8 years

17 - 22 Lacs

Posted:3 weeks ago| Platform: Naukri logo

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Full Time

Job Description

About the Role - We are seeking a highly skilled and experienced Senior Data Architect to join our growing data engineering team. - As a Senior Data Architect, you will play a critical role in designing, developing, and implementing robust and scalable data solutions to support our business needs. - You will be responsible for defining data architectures, ensuring data quality and integrity, and driving data-driven decision making across the organization. Key Responsibilities - Design and implement data architectures for various data initiatives, including data warehouses, data lakes, and data marts. - Define data models, data schemas, and data flows for complex data integration projects. - Develop and maintain data dictionaries and metadata repositories. - Ensure data quality and consistency across all data sources. - Design and implement data warehousing solutions, including ETL/ELT processes, data transformations, and data aggregations. - Support the development and implementation of business intelligence and reporting solutions. - Optimize data warehouse performance and scalability. - Define and implement data governance policies and procedures. - Ensure data security and compliance with relevant regulations (e.g., GDPR, CCPA). - Develop and implement data access controls and data masking strategies. - Design and implement data solutions on cloud platforms (AWS, Azure, GCP), leveraging cloud-native data services. - Implement data pipelines and data lakes on cloud platforms. - Collaborate effectively with data engineers, data scientists, business analysts, and other stakeholders. - Communicate complex technical information clearly and concisely to both technical and non-technical audiences. - Present data architecture designs and solutions to stakeholders. Qualifications Essential - 7+ years of experience in data architecture, data modeling, and data warehousing. - Strong understanding of data warehousing concepts, including dimensional modeling, ETL/ELT processes, and data quality. - Experience with relational databases (e.g., SQL Server, Oracle, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra). - Experience with data integration tools and technologies. - Excellent analytical and problem-solving skills. - Strong communication and interpersonal skills. - Bachelor's degree in Computer Science, Computer Engineering, or a related field. Apply Insights Follow-up Save this job for future reference Did you find something suspiciousReport Here! Hide This Job Click here to hide this job for you. You can also choose to hide all the jobs from the recruiter.

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