

Data Governance Lead
β - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Governance Lead for a 6-month contract in Torrance, CA, requiring 15+ years in data governance, expertise in data quality, compliance, and experience with SQL, AWS, and data warehousing solutions.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
480
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ποΈ - Date discovered
May 23, 2025
π - Project duration
Unknown
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ποΈ - Location type
On-site
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π - Contract type
W2 Contractor
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π - Security clearance
Unknown
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π - Location detailed
Torrance, CA
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π§ - Skills detailed
#"ETL (Extract #Transform #Load)" #PostgreSQL #Redshift #SQL (Structured Query Language) #BigQuery #Data Governance #Strategy #Security #Data Processing #Kafka (Apache Kafka) #Data Lineage #Databases #AWS (Amazon Web Services) #MongoDB #GDPR (General Data Protection Regulation) #Compliance #Snowflake #SQL Server #AI (Artificial Intelligence) #Metadata #Data Quality #ML (Machine Learning)
Role description
Title: Data Governance Lead
Location: Torrance, CA
Duration: 6-month contract
JOB DESCRIPTION
A customer within the automotive industry is looking for a Data Governance Lead to join their team in Torrance, CA. In this role, you will be responsible for developing and executing a comprehensive data governance strategy that ensures data quality, security, compliance, and usability across the organization. Youβll work closely with both technical and business teams to establish clear data ownership, stewardship, and governance practices.
This role is pivotal in building trust in data by defining standards for data quality, metadata, lineage, and compliance, while promoting a culture of accountability and data literacy. Youβll lead cross-functional initiatives to align governance with business goals, support regulatory compliance (e.g., GDPR, CCPA), and ensure consistent, ethical use of data throughout the enterprise.
MUST HAVES
15+ years of experience in data governance
Hands-on experience with defining data governance frameworks and catalogs
Deep knowledge of data quality and compliance requirements
Expertise in building catalog user journey dashboards
Past experience working with data stewards and catalog engineers
Strong experience with relational and non-relational databases (e.g., SQL Server, PostgreSQL, MongoDB, Cassandra).
Strong understanding of data warehousing solutions (e.g., Snowflake, Redshift, BigQuery) and ETL/ELT pipelines.
Past experience working in AWS
Familiarity with streaming technologies (e.g., Kafka, Kinesis) and real-time data processing
PLUSSES
Background in supporting AI/ML data solutions
Title: Data Governance Lead
Location: Torrance, CA
Duration: 6-month contract
JOB DESCRIPTION
A customer within the automotive industry is looking for a Data Governance Lead to join their team in Torrance, CA. In this role, you will be responsible for developing and executing a comprehensive data governance strategy that ensures data quality, security, compliance, and usability across the organization. Youβll work closely with both technical and business teams to establish clear data ownership, stewardship, and governance practices.
This role is pivotal in building trust in data by defining standards for data quality, metadata, lineage, and compliance, while promoting a culture of accountability and data literacy. Youβll lead cross-functional initiatives to align governance with business goals, support regulatory compliance (e.g., GDPR, CCPA), and ensure consistent, ethical use of data throughout the enterprise.
MUST HAVES
15+ years of experience in data governance
Hands-on experience with defining data governance frameworks and catalogs
Deep knowledge of data quality and compliance requirements
Expertise in building catalog user journey dashboards
Past experience working with data stewards and catalog engineers
Strong experience with relational and non-relational databases (e.g., SQL Server, PostgreSQL, MongoDB, Cassandra).
Strong understanding of data warehousing solutions (e.g., Snowflake, Redshift, BigQuery) and ETL/ELT pipelines.
Past experience working in AWS
Familiarity with streaming technologies (e.g., Kafka, Kinesis) and real-time data processing
PLUSSES
Background in supporting AI/ML data solutions