Develop and implement data governance policies and processes, including data classification, data lineage, data quality, data privacy, and data retention.
Collaborate with cross-functional teams to ensure data governance policies and processes are aligned with business goals and regulatory requirements.
Work with data infrastructure engineers, data engineers, data scientists and product managers to implement data governance frameworks and tools, including a data inventory catalog, metadata management, and data access controls.
Design and implement data quality and validation processes to ensure the accuracy and completeness of data.
Develop and implement data privacy policies and procedures, including data anonymization, encryption, and access controls.
Develop and implement data retention policies and procedures to ensure compliance with legal and regulatory requirements.
Conduct data governance audits and assessments to identify areas of improvement and provide recommendations to stakeholders and leadership.
Your Expertise:
BS/MS/PhD in Computer Science, a related field, or equivalent work experience.
9+ years of experience in software engineering, with a focus on data infrastructure.
Experience working with data storage and distributed processing technologies, such as Hive, Spark, Trino, Flink or SQL databases.
Strong programming skills in one or more of the following languages: Java, Python, or Scala.
Experience with data governance tools and technologies, such as data catalog, metadata management, and data access controls.
Strong knowledge of data governance frameworks, policies, and processes, including data classification, data lineage, data quality, data privacy and retention.
Strong communication skills and the ability to learn quickly within a collaborative environment.
Ability to work in areas outside of your usual comfort zone.