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Enterprise Data Architect

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April 29, 2024 5 minute read

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Enterprise Data Architect is a conceptual designer who creates and maintains the data management architecture enterprise-wide. They are responsible for ensuring that the data architecture aligns with the business needs and objectives of the organization. Enterprise Data Architects must have a deep understanding of data modeling, data integration, and data governance. They must also be able to work effectively with a variety of stakeholders, including business users, IT professionals, and data scientists.

Essential Skills and Knowledge

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Salaries for Enterprise Data Architect

City

25th Percentile

50th Percentile

75th Percentile

Median

New York

$195,000

$245,000

$318,000

$245,000

San Francisco

$251,000

$297,000

$370,000

$297,000

Seattle

$170,000

$197,000

$236,000

$197,000

See all salaries

City

25th Percentile

50th Percentile

75th Percentile

Median

New York

$195,000

$245,000

$318,000

$245,000

San Francisco

$251,000

$297,000

$370,000

$297,000

Seattle

$170,000

$197,000

$236,000

$197,000

Austin

$155,000

$226,000

$324,000

$226,000

Toronto

$158,000

$187,000

$227,000

$187,000

London

£93,800

£123,000

£160,000

£123,000

Paris

€56,000

€68,000

€78,000

€68,000

Berlin

€122,000

€145,000

€172,000

€145,000

Tel Aviv

₪423,000

₪486,000

₪578,000

₪486,000

Singapore

S$275,000

S$423,000

S$586,000

S$423,000

Beijing

¥169,000

¥200,000

¥224,000

¥200,000

Shanghai

¥322,000

¥488,000

¥692,000

¥488,000

Bengalaru

₹1,420,000

₹2,130,000

₹2,960,000

₹2,130,000

Delhi

₹1,968,000

₹3,216,000

₹5,310,000

₹3,216,000

Bars indicate relevance. All salaries presented are estimates. Completion of this course does not guarantee or imply job placement or career outcomes.

Path to Enterprise Data Architect

Take the first step.

We've curated two courses to help you on your path to Enterprise Data Architect. Use these to develop your skills, build background knowledge, and put what you learn to practice.

Sorted from most relevant to least relevant:

Querying JSON, XML, and Temporal Data with T-SQL

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Build a Data Warehouse Using BigQuery

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Reading list

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Relevant careers

Data Analyst

Data Engineer

Data Scientist

Data Architect

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