Overview
Skills
Job Details
Job Description:-
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Design, implement, and maintain scalable data architecture and infrastructure that supports business needs.
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Develop and maintain enterprise data models (conceptual, logical, and physical).
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Define data standards, policies, and best practices for data management, data quality, and metadata.
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Collaborate with stakeholders to understand data requirements and translate them into technical solutions.
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Evaluate, recommend, and implement new data technologies (e.g., data lakes, data warehouses, cloud platforms).
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Guide data integration strategies across systems (ETL/ELT, APIs, streaming).
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Lead data architecture for cloud platforms like AWS, Azure, or Google Cloud.
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Support the implementation of data governance, master data management, and data cataloging initiatives.
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Ensure compliance with regulatory and security standards (GDPR, HIPAA, etc.).
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Collaborate with data engineers, analysts, and business users to ensure consistent and reliable data delivery.
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Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or related field.
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5+ years of experience in data architecture, database design, or a related role.
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Strong proficiency in data modeling, database design, and SQL.
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Experience with data warehouse and data lake architectures (e.g., Snowflake, Redshift, BigQuery, Hadoop).
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Deep understanding of ETL/ELT tools and data integration pipelines.
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Experience with at least one cloud platform (AWS, Azure, Google Cloud Platform).
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Strong knowledge of metadata management and data governance frameworks.
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Familiarity with tools like dbt, Apache Airflow, Talend, Informatica, or similar.