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:

🔘 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞

↳ 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭: Mastery of both SQL and NoSQL databases.
↳ 𝐃𝐚𝐭𝐚 𝐌𝐨𝐝𝐞𝐥𝐥𝐢𝐧𝐠: Proficient in designing data models that align with business needs.
↳ 𝐄𝐓𝐋 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐞𝐬: Skilled in using modern ETL tools.
↳ 𝐁𝐢𝐠 𝐃𝐚𝐭𝐚 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬: Familiarity with Data Lake, Hadoop, and Spark technologies.
↳ 𝐂𝐥𝐨𝐮𝐝 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬: Experience with public clouds like AWS, Azure, or Google Cloud.

🔘 𝐏𝐫𝐨𝐛𝐥𝐞𝐦 𝐒𝐨𝐥𝐯𝐢𝐧𝐠

↳ 𝐂𝐫𝐢𝐭𝐢𝐜𝐚𝐥 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬: Analyse and interpret complex data sets to inform decision-making.
↳ 𝐃𝐚𝐭𝐚 𝐐𝐮𝐚𝐥𝐢𝐭𝐲 𝐀𝐬𝐬𝐮𝐫𝐚𝐧𝐜𝐞: Ensure data accuracy, consistency, and reliability.
↳ 𝐈𝐬𝐬𝐮𝐞 𝐑𝐞𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧: Guide teams to troubleshoot and resolve data-related issues effectively.

🔘 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐢𝐨𝐧 & 𝐂𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐢𝐨𝐧

↳ 𝐒𝐭𝐚𝐤𝐞𝐡𝐨𝐥𝐝𝐞𝐫 Communication: Communicate technical concepts to non-technical stakeholders.
↳ 𝐓𝐞𝐚𝐦 𝐋𝐞𝐚𝐝𝐞𝐫𝐬𝐡𝐢𝐩: Lead and mentor data teams effectively.
↳ 𝐂𝐫𝐨𝐬𝐬-𝐃𝐞𝐩𝐚𝐫𝐭𝐦𝐞𝐧𝐭 𝐂𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐢𝐨𝐧: Work closely with IT, business analytics, and compliance teams.

🔘 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐢𝐜 𝐓𝐡𝐢𝐧𝐤𝐢𝐧𝐠

↳ 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐔𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝𝐢𝐧𝐠: Align data architecture with business goals and strategies.
↳ 𝐃𝐚𝐭𝐚 𝐆𝐨𝐯𝐞𝐫𝐧𝐚𝐧𝐜𝐞: Establish and enforce data management policies.
↳ 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧: Integrate new technologies and methodologies to improve data systems.

🔘 𝐃𝐨𝐜𝐮𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧 & 𝐂𝐨𝐦𝐩𝐥𝐢𝐚𝐧𝐜𝐞

↳ 𝐂𝐨𝐦𝐩𝐫𝐞𝐡𝐞𝐧𝐬𝐢𝐯𝐞 𝐃𝐨𝐜𝐮𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧: Maintain detailed data architecture, processes, and standards records.
↳ 𝐑𝐞𝐠𝐮𝐥𝐚𝐭𝐨𝐫𝐲 𝐀𝐝𝐡𝐞𝐫𝐞𝐧𝐜𝐞: Ensure compliance with relevant data regulations and industry standards.

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