Lead Data Engineer

Sherwin-Williams

Cleveland, OH

Full Time

Senior

2 days ago

Job Description

About the Role

The Lead Data Engineer is responsible for leading in the designing, building, and maintaining of the systems and infrastructure that enable organizations to collect, store, process, and analyze large volumes of data. This role involves collaborating closely with data scientists, analysts, QA engineers, business process / functional SMEs, and other stakeholders to ensure that data is accessible, reliable, and secure. They are responsible for tasks such as data ingestion, data transformation, data integration, and data pipeline development. Lead Data Engineers also play a crucial part in data governance, ensuring that data is compliant with regulations and policies. This role also includes all aspects of software development and deployment of IT Operations to shorten delivery and time to market for data products and data pipelines and data warehousing. Overall, the incumbent helps organizations leverage their data to gain meaningful insights and make informed decisions.

Key Responsibilities

Leading the designing, building, and maintaining of data systems and infrastructure.
Collaborating closely with data scientists, analysts, QA engineers, business process / functional SMEs, and other stakeholders.
Ensuring data is accessible, reliable, and secure.
Managing data ingestion, data transformation, data integration, and data pipeline development.
Playing a crucial role in data governance to ensure compliance with regulations and policies.
Overseeing software development and deployment of IT operations to shorten delivery times for data products and pipelines.

Requirements

Experience in designing, building, and maintaining data systems and infrastructure.
Strong collaboration skills with cross-functional teams.
Knowledge of data governance, compliance, and security best practices.
Experience with data ingestion, transformation, and pipeline development.
Understanding of software development and deployment processes related to data engineering.

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