Your Responsibilities
- Implement business and IT data requirements through new data strategies and designs across all data platforms (relational, dimensional, and NoSQL). Work with solution teams and Data Architects to implement data strategies, build data flows, and develop logical/physical data models.
- Work with Data Architects to define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models.
- Perform hands-on modeling, design, configuration, installation, performance tuning, and sandbox POC.
- Work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks.
Your Profile
- Bachelor's degree in computer science, data science, or related technical field, or equivalent experience.
- 7+ years of hands-on experience with relational, dimensional, and/or analytic data platforms (using RDBMS, NoSQL, ETL, and data ingestion protocols).
- Experience with data warehouse, Data Lake, and enterprise big data platforms in multi-data-center environments.
- Good knowledge of metadata management, data modeling, and tools like Erwin or ER Studio.
- Preferred experience with Azure services (Azure Data Factory, Azure Data Lake Storage, Azure Synapse, Azure Databricks). Experience with SAP Datasphere is a plus.
- Experience in team management, communication, and presentation skills.
- Understanding of agile methodologies and Scrum environment.
- Ability to translate business needs into data vault and dimensional data models supporting long-term solutions.
- Collaborate with application development teams to implement data strategies and create high-quality, non-redundant data models.
- Optimize and update data models to support ongoing and new projects.
- Maintain data models and metadata, develop naming conventions, and promote reuse of data models.
- Perform reverse engineering from databases and SQL scripts, evaluate data models, and validate data objects for accuracy.
- Address data system integration challenges and propose solutions.
- Guide analysts, engineers, and programmers on project limitations, performance, and interfaces.
- Review and improve existing data models for efficiency and performance.
- Examine new application designs and recommend improvements if needed.
#IncludingYou
Diversity, equity, inclusion, and belonging are core to our values. We aim to create inclusive environments where every colleague feels valued and can grow. For more info, visit our Diversity, Equity, and Inclusion page.
About ADM
At ADM, we unlock the power of nature to provide access to nutrition worldwide. We are a global leader in nutrition and agricultural processing, committed to sustainability and innovation. Learn more at www.adm.com.