Data Architect

3 days ago

Mumbai, Maharashtra, India Innova AM Tech Full time ₹ 12,00,000 - ₹ 24,00,000 per year

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.

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