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Data Platform Engineer

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April 29, 2024 4 minute read

Data Platform Engineer is a challenging and rewarding career that offers a unique blend of technical and business skills. Data Platform Engineers are responsible for designing, building, and maintaining the data infrastructure that powers modern businesses. They work with a variety of data sources, including relational databases, NoSQL databases, and big data technologies. Data Platform Engineers must have a deep understanding of data modeling, data management, and data security. They must also be able to work effectively with other members of the IT team, including developers, database administrators, and data scientists.

Data Platform Engineer: A Role for the Future

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Salaries for Data Platform Engineer

City

25th Percentile

50th Percentile

75th Percentile

Median

New York

$121,000

$158,000

$208,000

$158,000

San Francisco

$178,000

$209,000

$242,000

$209,000

Seattle

$142,000

$162,000

$200,000

$162,000

See all salaries

City

25th Percentile

50th Percentile

75th Percentile

Median

New York

$121,000

$158,000

$208,000

$158,000

San Francisco

$178,000

$209,000

$242,000

$209,000

Seattle

$142,000

$162,000

$200,000

$162,000

Austin

$129,000

$156,000

$198,000

$156,000

Toronto

$116,000

$150,000

$202,000

$150,000

London

£73,000

£95,000

£134,000

£95,000

Paris

€43,000

€55,000

€69,000

€55,000

Berlin

€65,000

€81,000

€105,000

€81,000

Tel Aviv

₪462,000

₪559,000

₪700,000

₪559,000

Singapore

S$72,000

S$90,000

S$108,000

S$90,000

Beijing

¥245,000

¥313,000

¥381,000

¥313,000

Shanghai

¥274,000

¥431,000

¥617,000

¥431,000

Bengalaru

₹1,790,000

₹2,734,000

₹3,782,000

₹2,734,000

Delhi

₹324,000

₹651,000

₹936,000

₹651,000

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

Path to Data Platform Engineer

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

Sorted from most relevant to least relevant:

Advanced Data Engineering with Snowflake

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AWS Developer: Unit 8

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Hadoop and Spark Fundamentals: Unit 1

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Conceptualizing the Processing Model for Azure Databricks Service

Conceptualizing the Processing Model for Azure Databricks...

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PyMongo - Advanced

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Hive in Depth Training and Interview Preparation course

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Kafka Connect Fundamentals

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Creating a Streaming Data Pipeline With Apache Kafka

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