Data Architect - Business Intelligence

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. (ref:hirist.tech)

Location: mumbai, IN

Posted Date: 2/16/2025