GoFasti

Designer

• Own design for assigned fragrance collections and brand systems across SKUs, sizes, and substrates
• Build distinct visual territories including color palettes, typography, finishes, pattern/illustration, iconography, and layout rules
• Develop designs across luxury, masstige, mass, clean/clinical, vintage apothecary, Y2K/Gen Z, gender-neutral, holiday/gifting, and collaboration styles
• Translate trends and cultural signals into commercially strong, retailer-ready designs
• Create on-pack architecture balancing brand, line, variant, claims, regulatory requirements, beauty, and clarity
• Design comps and mockups for on-pack, secondary, merchandising, e-commerce thumbnails/PDP, and simple POS
• Build concise style guides and toolkits covering logo usage, type systems, color logic, finishes, and layout patterns
• Use finishes and materials such as foil, emboss/deboss, soft-touch, and textures with cost tiers in mind
• Run fast exploration through mood boards, type studies, palette/finish options, and A/B shelf and thumbnail tests
• Present rationale tied to consumer, retailer, and price tier; iterate based on feedback
• Conduct competitive scans and trend maps
• Design in-store merchandising displays per retailer and brand requirements
• Partner with Product Development, Compliance, Packaging Engineering, and Creative to ensure manufacturability
• Annotate design intent and provide build notes
• Prepare organized files, naming, links, and specification notes for production/prepress
• QA hierarchy, legibility, color calls, and dieline fit; support proof reviews
• Share best practices with peers/juniors and contribute to libraries, templates, and checklists

Designer – Packaging Branding

Data Engineer

• Own data workflows end to end, including ingestion, storage, orchestration, transformation, validation, and delivery
• Build and maintain inbound and outbound data transfers using cloud storage, secure file transfer protocols, and other integration methods
• Develop and maintain ETL and ELT pipelines using workflow orchestration and event-driven processing
• Manage data across cloud storage, data warehouses, and analytical databases
• Design and optimize data models, schemas, queries, and transformations
• Own custom datasets supporting large clients and company partnerships, including their sources, business definitions, lineage, and downstream dependencies
• Partner with Customer Success, Operations, and Engineering to clarify requirements, investigate discrepancies, and communicate technical constraints and data behavior
• Implement and maintain data quality checks, automated tests, monitoring, and alerts
• Troubleshoot production issues across transfers, pipelines, and databases; identify root causes and implement lasting fixes
• Maintain documentation covering data flows, dataset definitions, architectural decisions, and operational recovery procedures
• Evaluate technical approaches through research and prototypes, explaining tradeoffs in reliability, performance, cost, and maintainability
• Apply access controls and secure data handling practices throughout the data lifecycle

Backend Engineer

• Design and implement enterprise-scale federated architectures integrating Palantir Foundry and Databricks
• Establish standards for data sharing across Foundry, Databricks, BigQuery, and Cloud Storage environments
• Define architecture patterns leveraging Delta Lake, Apache Iceberg, Unity Catalog, Foundry Ontology, Virtual Tables, and Catalog Federation
• Lead modernization of legacy ETL architectures toward metadata-driven, cloud-native data products
• Define enterprise data governance, lineage, metadata, and ownership models across both platforms
• Create architectural roadmaps supporting AI, machine learning, real-time analytics, and self-service data consumption
• Design and implement Foundry Databricks Connector solutions, including bulk imports, incremental data synchronization, virtual tables, compute pushdown, and external model integrations
• Build scalable ingestion, transformation, and enrichment pipelines using PySpark, Spark SQL, Python, Databricks Workflows, Airflow, and Foundry Code Repositories
• Architect secure connectivity between Palantir Foundry, Databricks, Google Cloud Platform, BigQuery, Cloud Storage, and Enterprise APIs
• Enable AI and machine learning workloads across Foundry and Databricks environments
• Serve as the technical authority for enterprise data platform architecture and lead architecture reviews

Senior Data Platform Architect – Palantir Foundry, Databricks Integration

DevOps Engineer

• Architect resilient, cloud-native infrastructure solutions aligned with industry best practices and client business objectives
• Produce technical documentation, including architecture diagrams, migration roadmaps, and operational runbooks
• Lead technical discussions during client engagements and translate requirements into actionable roadmaps
• Design, deploy, and manage production-grade cloud environments hosting high-performance Java backend services
• Standardize containerization and orchestration strategies using Docker and Kubernetes
• Build and maintain CI/CD pipelines for continuous integration and delivery
• Implement observability strategies to analyze system performance and optimize Java applications
• Develop and enforce Security as Code practices, integrating automated identity management and compliance into CI/CD
• Ensure infrastructure designs adhere to industry standards and compliance frameworks
• Implement high-availability configurations, automated failover, and disaster recovery strategies

Designer – Packaging Branding

Data Engineer

Senior Data Platform Architect – Palantir Foundry, Databricks Integration

Senior DevOps Engineer