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Data Architect

Overview, Education, Careers Types, Skills, Career Path, Resources

Data Architects design and manage data systems. They ensure data is accessible, secure, and optimized for business needs, driving innovation and efficiency.

Average Salary

₹18,00,000

Growth

high

Satisfaction

medium

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Functional Skills

Functional Skills are essential skills that help individuals perform tasks effectively in everyday life, work, and education.

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    Data Modeling
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    Database Management Systems (DBMS)
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    ETL (Extract, Transform, Load) Processes
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    Data Warehousing
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    Big Data Technologies
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    Data Governance and Security
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    Cloud Computing
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    SQL and Data Querying
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    Data Integration
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    Business Intelligence (BI)
Soft Skills

Communication, teamwork, and critical thinking to ensure seamless project execution.

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    Communication Skills
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    Problem-Solving
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    Analytical Thinking
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    Collaboration
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    Leadership
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    Adaptability
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    Time Management
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    Decision-Making
Technical Skills

Technical Skills are specialized abilities and knowledge needed to perform specific tasks or functions.

    Duties and Responsiblities

    Task

    Work Activities

    95%

    Designing and implementing data models and database schemas optimized for performance and scalability.

    92%

    Developing and managing ETL (Extract, Transform, Load) processes to integrate data from various sources.

    90%

    Creating and maintaining database structures, ensuring data integrity and efficient data retrieval.

    88%

    Optimizing database performance through indexing, query optimization, and resource allocation.

    85%

    Establishing and enforcing data governance policies and standards to ensure data quality and compliance.

    82%

    Integrating on-premises data solutions with cloud-based data platforms and services.

    80%

    Implementing security measures to protect sensitive data and prevent unauthorized access.

    78%

    Designing and managing data warehouses for business intelligence and reporting purposes.

    75%

    Implementing big data solutions using technologies like Hadoop, Spark, and NoSQL databases.

    72%

    Planning and executing data migration projects, ensuring minimal disruption and data loss.

    70%

    Developing reporting and analytics solutions to provide insights into business performance.

    68%

    Collaborating with cross-functional teams to understand data requirements and deliver effective solutions.

    Detailed Work Profile

    Interests