Platform Governance Analyst - Data Engineering
Atlanta, Georgia, US United States, 30340
Cargill’s size and scale allows us to make a positive impact in the world. Our purpose is to nourish the world in a safe, responsible and sustainable way. We are a family company providing food, ingredients, agricultural solutions and industrial products that are vital for living. We connect farmers with markets so they can prosper. We connect customers with ingredients so they can make meals people love. And we connect families with daily essentials — from eggs to edible oils, salt to skincare, feed to alternative fuel. Our 160,000 colleagues, operating in 70 countries, make essential products that touch billions of lives each day. Join us and reach your higher purpose at Cargill.
Job Purpose and Impact
Cargill's Data Function is transforming their data platform and analytics foundation through the implementation of new data architecture, process, and standards. We are looking for a Platform Governance Analyst – Data Engineering to play a significant role in the implementation and operations of the data engineering governance and compliance frameworks. This role will reside in the data engineering organization.
The role will focus on data as an asset (with a focus on ownership and compliance) while helping to identify & prioritize use cases for data which will contribute towards the longer-term governance roadmap for the data platform. Key areas of focus, responsibility, and contribution will be Governance & Compliance Framework Design and Implementation, Data Platform Onboarding and Portfolio Governance, and Assurance of Auditability and Observability with a compliance lens. The role can be divided into two sets of accountabilities:
- Governance Implementation: Identifying and implementing the compliance framework will be key to your success. You will need to ensure engagement from privacy, technology risk, audit, and a variety of data and analytics partners throughout the enterprises and function. You will support a central governance committee and data community who will be key customers and contributors toward establishing the proper governance guardrails for data and self-serve analytics.
- Ongoing Operations: Coordinating with enterprise and function data analytics teams, the data community, and the data platform engineering team to ensure we are operationalizing policy and ensuring process and standard adherence. You will monitor and support the adoption of the compliance framework by internal and external project teams, as well as data stewards and owners. You will drive the quality and visibility of the data in the platform through adoption and use of tools such as a data discovery platform. The ideal candidate is an organized analyst, a polished communicator, passionate about balanced governance, and experienced in working cross-functionally and globally to solve problems with product and process changes. They thrive in an ambiguous, fast-paced, and dynamic environment and are excited to help Cargill deliver trusted data as efficiently as possible.
Key Accountabilities
- Collaborate with key business and Digital Technology & Data stakeholders to develop, document, and maintain enforcement of data governance and compliance policy, framework, and standards.
- Perform analysis of complex data-related system and process gaps and recommend and execute corrective action.
- Generate business insights, govern data assets, and promote the use of data to achieve strategic goals.
- Provide data solution leadership for large, complex, and sometimes multiregional projects.
- Provide governance to ensure proposed projects adhere to the instance data design.
- Ensure technology solutions meet predefined objectives and present a clear understanding of the effect on data design and data governance.
- Independently handle complex issues with minimal supervision, while escalating only the most complex issues to appropriate staff.
- Other duties as assigned.
Qualifications
Minimum Qualifications
- Bachelor’s degree in a related field or equivalent experience.
- Minimum of two years of related work experience.
- Knowledge of enterprise information management processes and methodologies.
- Proficiency in understanding modern data architecture including modern data warehouse tools (e.g., Snowflake, Databricks).
- Experience working with SQL.
- Proven project management and organizational skills, with the ability to work independently, manage time effectively, and handle multiple projects in a fast-paced, evolving environment while understanding their broader impact.
- Experience in governing and handling sensitive data including personal information.
- Experience and/or knowledge of data regulations such as GDPR and CCPA.
Preferred Qualifications
- Confirmed experience working with relevant data management systems and applications (e.g., Atlan, Collibra).
- Experience with implementing governance across data platforms and data products.
- Experience in implementing and/or working within a Data Governance committee and/or framework.
- Experience with Agile/Dev Ops methodologies and tools such as Jira.
- Knowledge of master data, metadata, reference data, data warehousing, database structure, and business intelligence principles and processes, including technical architecture.
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Equal Opportunity Employer, including Disability/Vet.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture Business Intelligence Data Analytics Databricks Data governance Data management Data warehouse Data Warehousing Engineering Industrial Jira Privacy Snowflake SQL
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