Senior Data Architect

November 8

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Logo of McAfee

McAfee

1001 - 5000

πŸ’° Private Equity Round on 1991-09

Description

β€’ Manage data platform architecture on the Databricks platform. β€’ Design and organize data platforms, including databases and data structures, data storage, access, loading, and pipeline design. β€’ Collaborate with data stewards and data engineers on solution design. β€’ Develop and maintain physical data models for the Databricks platform. β€’ Manage metadata in data catalog tools, such as Collibra. β€’ Ensure adherence to data curation standards and guidelines for medallion certification framework and required architecture. β€’ Ensure the platform and platform design meet required security and compliance guidelines, including PII management. β€’ Provide oversight to data curation teams, ingestion engineers and data engineers, including code review and data model design review to ensure adherence to standards and best practices.

Requirements

β€’ Bring 6 + years of experience in data engineering, data modeling, and ETL/ELT. β€’ Have experience as a senior engineer, including conducting code reviews. β€’ Have hands-on experience with six or more of the following: β€’ Design and implementation of logical and physical data models. β€’ Data modeling tools, such as Erwin or ER/Studio. β€’ Databricks / Spark. β€’ Lakehouse architecture and medallion data organization. β€’ ETL/ELT development, monitoring, pipelining and orchestration. β€’ Python/ PySpark , Scala or similar programming language. β€’ Data quality guidelines and testing frameworks. β€’ Creating technical design documents and data flow diagrams. β€’ CI/CD pipelines. β€’ Agile sprints. β€’ Git and version control.

Benefits

β€’ Bonus Program β€’ Pension and Retirement Plans β€’ Medical, Dental and Vision Coverage β€’ Paid Time Off β€’ Paid Parental Leave β€’ Support for Community Involvement

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