Wednesday, July 17, 2024

Data Architect - Key Skills

 Referred Link - https://www.linkedin.com/posts/mr-deepak-bhardwaj_dataarchitecture-bigdata-cloudcomputing-activity-7218234030058536962-SbYH/

What does it take to be a top-notch Data Architect?

Here’s a clear breakdown of the essential skills and responsibilities that define this pivotal role:

๐Ÿ”˜ ๐“๐ž๐œ๐ก๐ง๐ข๐œ๐š๐ฅ ๐„๐ฑ๐ฉ๐ž๐ซ๐ญ๐ข๐ฌ๐ž

↳ ๐ƒ๐š๐ญ๐š๐›๐š๐ฌ๐ž ๐Œ๐š๐ง๐š๐ ๐ž๐ฆ๐ž๐ง๐ญ: Mastery of both SQL and NoSQL databases.
↳ ๐ƒ๐š๐ญ๐š ๐Œ๐จ๐๐ž๐ฅ๐ฅ๐ข๐ง๐ : Proficient in designing data models that align with business needs.
↳ ๐„๐“๐‹ ๐๐ซ๐จ๐œ๐ž๐ฌ๐ฌ๐ž๐ฌ: Skilled in using modern ETL tools.
↳ ๐๐ข๐  ๐ƒ๐š๐ญ๐š ๐“๐ž๐œ๐ก๐ง๐จ๐ฅ๐จ๐ ๐ข๐ž๐ฌ: Familiarity with Data Lake, Hadoop, and Spark technologies.
↳ ๐‚๐ฅ๐จ๐ฎ๐ ๐๐ฅ๐š๐ญ๐Ÿ๐จ๐ซ๐ฆ๐ฌ: Experience with public clouds like AWS, Azure, or Google Cloud.

๐Ÿ”˜ ๐๐ซ๐จ๐›๐ฅ๐ž๐ฆ ๐’๐จ๐ฅ๐ฏ๐ข๐ง๐ 

↳ ๐‚๐ซ๐ข๐ญ๐ข๐œ๐š๐ฅ ๐€๐ง๐š๐ฅ๐ฒ๐ฌ๐ข๐ฌ: Analyse and interpret complex data sets to inform decision-making.
↳ ๐ƒ๐š๐ญ๐š ๐๐ฎ๐š๐ฅ๐ข๐ญ๐ฒ ๐€๐ฌ๐ฌ๐ฎ๐ซ๐š๐ง๐œ๐ž: Ensure data accuracy, consistency, and reliability.
↳ ๐ˆ๐ฌ๐ฌ๐ฎ๐ž ๐‘๐ž๐ฌ๐จ๐ฅ๐ฎ๐ญ๐ข๐จ๐ง: Guide teams to troubleshoot and resolve data-related issues effectively.

๐Ÿ”˜ ๐‚๐จ๐ฆ๐ฆ๐ฎ๐ง๐ข๐œ๐š๐ญ๐ข๐จ๐ง & ๐‚๐จ๐ฅ๐ฅ๐š๐›๐จ๐ซ๐š๐ญ๐ข๐จ๐ง

↳ ๐’๐ญ๐š๐ค๐ž๐ก๐จ๐ฅ๐๐ž๐ซ Communication: Communicate technical concepts to non-technical stakeholders.
↳ ๐“๐ž๐š๐ฆ ๐‹๐ž๐š๐๐ž๐ซ๐ฌ๐ก๐ข๐ฉ: Lead and mentor data teams effectively.
↳ ๐‚๐ซ๐จ๐ฌ๐ฌ-๐ƒ๐ž๐ฉ๐š๐ซ๐ญ๐ฆ๐ž๐ง๐ญ ๐‚๐จ๐ฅ๐ฅ๐š๐›๐จ๐ซ๐š๐ญ๐ข๐จ๐ง: Work closely with IT, business analytics, and compliance teams.

๐Ÿ”˜ ๐’๐ญ๐ซ๐š๐ญ๐ž๐ ๐ข๐œ ๐“๐ก๐ข๐ง๐ค๐ข๐ง๐ 

↳ ๐๐ฎ๐ฌ๐ข๐ง๐ž๐ฌ๐ฌ ๐”๐ง๐๐ž๐ซ๐ฌ๐ญ๐š๐ง๐๐ข๐ง๐ : Align data architecture with business goals and strategies.
↳ ๐ƒ๐š๐ญ๐š ๐†๐จ๐ฏ๐ž๐ซ๐ง๐š๐ง๐œ๐ž: Establish and enforce data management policies.
↳ ๐ˆ๐ง๐ง๐จ๐ฏ๐š๐ญ๐ข๐จ๐ง: Integrate new technologies and methodologies to improve data systems.

๐Ÿ”˜ ๐ƒ๐จ๐œ๐ฎ๐ฆ๐ž๐ง๐ญ๐š๐ญ๐ข๐จ๐ง & ๐‚๐จ๐ฆ๐ฉ๐ฅ๐ข๐š๐ง๐œ๐ž

↳ ๐‚๐จ๐ฆ๐ฉ๐ซ๐ž๐ก๐ž๐ง๐ฌ๐ข๐ฏ๐ž ๐ƒ๐จ๐œ๐ฎ๐ฆ๐ž๐ง๐ญ๐š๐ญ๐ข๐จ๐ง: Maintain detailed data architecture, processes, and standards records.
↳ ๐‘๐ž๐ ๐ฎ๐ฅ๐š๐ญ๐จ๐ซ๐ฒ ๐€๐๐ก๐ž๐ซ๐ž๐ง๐œ๐ž: Ensure compliance with relevant data regulations and industry standards.


Tags:

#Data Science, #Data Analytics, #LearningRoadmap,




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