Data Inventory & Migration Professional

Description

• Establish repeatable data pipelines and validation frameworks leveraging tools such as Snowflake, SQL, and automated ETL/ELT processes.
• Partner with the TDMO to operationalize policies and standards for data quality, retention, and security.
• Define and document metadata, business rules, and Critical Data Elements (CDEs) for the O&PS division.
• Foster cross-functional collaboration to define data ownership, stewardship, and accountability models.
• Report on data migration progress, data quality KPIs, and governance metrics to divisional and enterprise leadership.
• Ensure compliance with enterprise governance, privacy, and regulatory frameworks (e.g., CCPA).
• Lead data profiling, issue remediation, and monitoring.
• Translate business and technical requirements into data solutions aligned with the Customer & Account Master Program and Trimble’s enterprise MDM and metadata strategy.
• Support change management, enablement, and data literacy initiatives within O&PS to promote adoption of governed, high-quality data practices.
• Collaborate with system, process, and domain experts to ensure data integrity, lineage, and hierarchical relationships are maintained in the target platform.
• Define and execute migration plans including data extraction, cleansing, mapping, validation, transformation, and load activities.
• Establish data quality rules, validation procedures, and stewardship workflows to sustain trust in migrated data.
• Lead the end-to-end migration of data from legacy systems into Trimble’s modern cloud-based platform.
• Act as the primary liaison between O&PS business teams, the DTO, IT, and the TDMO.
• Implement data management controls aligned with the Trimble Data Governance Framework, including data stewardship, lineage, cataloging, and certification.

Requirements

• 5+ years of experience in data management, data migration, or data engineering within complex enterprise ecosystems.
• Strong understanding of data migration patterns, data modeling, and system integration across hybrid environments.
• Proficiency in SQL, Snowflake, and modern data warehouse architectures.
• Knowledge of data governance frameworks such as DMBOK, or equivalent.
• Familiarity with metadata management, data cataloging (e.g., Microsoft Purview), and lineage tracking tools.
• Experience implementing data policies, access controls, and retention standards in alignment with enterprise governance.
• Demonstrated experience in data governance, metadata management, and data quality frameworks.
• Hands-on experience with ETL/ELT tools, data pipelines, and automated data validation.
• Proficiency in CRM and ERP systems and data.
• Bachelor’s degree in Computer Science, Data Analytics, Information Systems, or related field; advanced degree preferred.

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance