TalentAQ

TalentAQ

Data Governance Lead

Data GovernanceFull TimeFresherRemote

Required Skills
15 skills

AWS AppFlow
S3
Lambda
Fivetran
PostgreSQL
Snowflake
SnowSQL
Snowpipe
Salesforce
nCino
Looker
LookML
RESTful APIs
Salesforce APIs
Secoda

Job Description

Data Organization and Governance: Define and maintain governance standards that span multiple systems (AWS, Fivetran, Snowflake, PostgreSQL, Salesforce/nCino, Looker), ensuring that data remains accurate, accessible, and organized across the organization. Solve Data Problems Proactively: Address recurring data issues that sidetrack operational and strategic initiatives by implementing processes and tools to anticipate, identify, and resolve root causes effectively. System Integration: Lead the integration of diverse systems into a cohesive data environment, optimizing workflows and minimizing manual intervention. Hands-On Problem Solving: Take a hands-on approach to resolving reporting issues and troubleshooting data challenges when necessary, ensuring minimal disruption to business operations. Collaboration Across Teams: Work closely with business and technical stakeholders to understand and solve our biggest challenges Mentorship and Leadership: Guide and mentor team members, fostering a culture of accountability and excellence in data management practices. Strategic Data Support: Ensure that marketing, analytics, and other strategic initiatives are not derailed by data integrity issues, enabling the organization to focus on growth and innovation.
Data Organization and Governance: Define and maintain governance standards that span multiple systems (AWS, Fivetran, Snowflake, PostgreSQL, Salesforce/nCino, Looker), ensuring that data remains accurate, accessible, and organized across the organization. Solve Data Problems Proactively: Address recurring data issues that sidetrack operational and strategic initiatives by implementing processes and tools to anticipate, identify, and resolve root causes effectively. System Integration: Lead the integration of diverse systems into a cohesive data environment, optimizing workflows and minimizing manual intervention. Hands-On Problem Solving: Take a hands-on approach to resolving reporting issues and troubleshooting data challenges when necessary, ensuring minimal disruption to business operations. Collaboration Across Teams: Work closely with business and technical stakeholders to understand and solve our biggest challenges Mentorship and Leadership: Guide and mentor team members, fostering a culture of accountability and excellence in data management practices. Strategic Data Support: Ensure that marketing, analytics, and other strategic initiatives are not derailed by data integrity issues, enabling the organization to focus on growth and innovation.

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