We are seeking a skilled Data Engineer is responsible for designing and optimizing data structures and models for the TSN platform, ensuring multi-tenant separation, governance, and compliance. This role collaborates closely with the Data Architect, Security, and Integration teams to embed security controls and maintain data integrity across transactional and analytical workflows.
Responsibilities
Top 5 Responsibilities:
Data Model Design & Optimization.
Data Security & Access Control.
Compliance & Governance Implementation.
Data Quality & Validation.
Secure Data Integration & Transformation.
Additional Responsibilities:
Develop canonical data models for procurement, vendor, and order workflows.
Define and refine schemas to support both transactional and analytical processing needs.
Implement multi-tenant data isolation and enforce strict access control policies.
Collaborate with the Security Architect to integrate encryption (at rest/in transit), field-level masking, and role-based access controls (RBAC).
Establish metadata standards, lineage tracking, and audit logging to comply with regulations (e.g., GDPR, SOC2).
Ensure all data structures align with governance policies and industry best practices.
Work closely with the Data Quality Analyst to embed validation rules into the data model design.
Implement automated data integrity checks to maintain high-quality datasets.
Partner with the Integration Engineer to ensure secure ingestion, transformation, and movement of data from external systems.
Optimize data pipelines to align with security and governance requirements.
Qualifications
Top 5 Qualifications:
Expertise in data modeling, schema design, and optimization for transactional and analytical workloads.
Strong understanding of data security, encryption, and access control mechanisms.
Experience with regulatory compliance frameworks (GDPR, SOC2) and data governance principles.
Hands-on experience with metadata management, lineage tracking, and audit logging.
Ability to collaborate across teams to ensure secure and scalable data architecture.
Additional Qualifications:
Familiarity with BI tools like Power BI, Tableau, and Looker for data visualization and reporting.
Experience integrating data across PIM, ERP, CRM, and OMS platforms.
Strong understanding of big data technologies (Hadoop, Spark, Kafka) for large-scale data processing.
Cloud certifications in AWS, Azure, or Google Cloud (AWS Certified Data Analytics, Google Professional Data Engineer, etc.) are a plus.
Excellent problem-solving and analytical skills with the ability to work in a fast-paced environment.
What We Can Offer You:
A career with thought leaders who literally wrote the book on Marketplace Best Practices.
A career in the fast-paced world of retail eCommerce, digital marketplaces, and platform businesses.
A career with first movers who are deploying new business models and strategies worldwide.
A career in a flat management structure without a rigid hierarchy and bureaucracy.
A career in a culture that rewards creativity and innovation, risk-taking, and teamwork.
Additional Information:
Our Core Values: Client Focus, Ownership, Adaptability, and Caring.
Keywords: Data Architecture, Cloud Data Platforms, PIM, ETL, BI, Data Security, Commerce Analytics, Role-Based Access Control, Data Governance, eCommerce Data Solutions
Data Modeling, Schema Design, Data Optimization, Data Security, Encryption, Access Control, Regulatory Compliance, GDPR, SOC2, Data Governance, Metadata Management, Lineage Tracking, Audit Logging, BI Tools, Power BI, Tableau, Looker, Data Integration, PIM, ERP, CRM, OMS, Big Data Technologies, Hadoop, Spark, Kafka, Cloud Computing, AWS, Azure, Google Cloud, Problem-Solving, Analytical Skills, Data Pipelines, Data Validation, Multi-Tenant Data Isolation, Role-Based Access Control, Field-Level Masking.