CDP Architect / Lead, [Customer Data Platform]

About Sweed: Sweed (sweedpos.com) is an enterprise-grade, product-driven technology startup that has revolutionized the cannabis retail vertical for over 7 years. Our all-in-one software platform consolidates Point of Sale (POS), eCommerce, multi-channel Growth Marketing, advanced Business Intelligence Analytics, and real-time Inventory Management into a single, seamless digital ecosystem. Sweed is actively redefining commercial operations for dispensaries and retail operators nationwide, eliminating fragmented third-party plugin stacks while driving compliance-ready growth in a multi-billion dollar regulated vertical.

Position Overview

We are seeking a highly analytical, systems-minded, and execution-obsessed Customer Data Platform (CDP) Architect / Lead to spearhead the 0→1 design, development, and delivery of our core data platform layer from scratch under a permanent, full-time fully remote international engagement framework. This is a foundational position requiring deep structural craft mastery; we are not looking for an operator who has merely configured commercial off-the-shelf marketing suites. Instead, you will claim direct architectural and optimization ownership over constructing a high-performance, multi-tenant composable CDP that unifies, isolation-protects, and activates multi-client transactional records across all platform nodes. Shifting completely away from routine dashboard building, basic script edits, or manual database data logging, you will run an active data pipeline streaming, complex identity resolution matching, and ML-driven preference profiling laboratory—partnering face-to-face with global cross-functional product engineers, analysts, and QA squads. This position requires an organic search or big data pioneer who constructs distributed profiles fluidly natively using Data Science & Analytics practices, evaluates deterministic and probabilistic resolution frameworks cleanly across fragmented sources, and drives privacy-by-design compliance patterns confidently to elevate next-generation retail experiences.

Key Responsibilities

• 0→1 CDP System Architecture: Architect, implement, and deploy Sweed’s core Customer Data Platform from scratch, seamlessly designing components for data ingestion, identity resolution, unified profiling, and channel activation.
• Multi-Tenant Isolation Engineering: Establish a resilient, highly secure multi-tenant cloud-data blueprint providing ironclad data isolation partitioned strictly by individual clients and individual state legal domains.
• Identity Resolution Optimization: Build and fine-tune highly scalable matching systems integrating both deterministic and probabilistic logic matrices to unify disparate customer identities into singular profiles.
• Predictive ML Enrichment Modeling: Architect the platform’s native AI layer to process and surface predictive behavioral vectors natively utilizing Data Science & Analytics frameworks, encompassing Customer Lifetime Value (CLV), churn propensity, behavioral segmentation, and next-best-product recommendation engines.
• Large Language Model Integration: Build and implement structured ingestion models utilizing generative LLMs for natural language preference capturing and unstructured buyer preference enrichment.
• Data Engineering Pipeline Construction: Design high-throughput, low-latency streaming structures, manage complex lakehouse/warehouse schemas, and construct secure reverse ETL synchronizations into target martech execution nodes.
• Compliance and Privacy Governance: Enforce ironclad privacy-by-design data structures ensuring complete conformance with GDPR, CCPA, active consent management models, and rigorous data minimization workflows.

Required Skills & Qualifications

• Proven professional history serving as a hands-on Software Architect or Lead Engineer with a recorded background building an enterprise CDP from scratch (0→1) or scaling one substantially.
• Masterful technical command over data engineering workflows, encompassing distributed ingestion streaming pipelines, reverse ETL architectures, and unified lakehouse modeling.
• Applied comprehension of identity resolution logic, showing deep familiarity configuring advanced deterministic and probabilistic profile-stitching matrices natively using Data Science & Analytics workflows.
• Demonstrated proficiency deploying machine learning models focused on customer data analytics, including behavioral segmentation, churn, propensity scores, and recommendation engines.
• Clear conceptual understanding of modern marketing technology frameworks, audience segmentation, and channel data activation loops.
• Outstanding written and spoken communication depth, showing complete comfort navigating engineering trade-offs and technical direction with stakeholders across different time zones.
• Location Context: Position features 100% remote parameters open to qualified technical data architects operating globally, with required availability during core GMT alignment hours.

Preferred Strategic Indicators (Nice to Have)

• Prior engineering background navigating the rigorous privacy, security, and traceability criteria of heavily regulated ecosystems such as cannabis tech, fintech, healthcare, or pharmaceutical environments.
• Direct operational knowledge of cannabis industry compliance infrastructure, explicitly encompassing track-and-trace platforms (Metrc, BioTrack), TCPA guidelines, and digital age verification layers.
• Applied experience designing a composable, modular CDP architecture over an in-house open-source database stack rather than relying completely on black-box platforms like Segment or mParticle.

What We Offer

• Vetted, Global B2B Contract Blueprint: Stable, highly competitive compensation denominated directly in USD, tailored to your technical depth and platform engineering precision.
• The spectacular professional canvas to own, architect, and deliver the core data intelligence engine for a dominant vertical SaaS enterprise.
• Profound work-from-home remote parameters offering an autonomous virtual track, 100% digital independence, and flexible operational working hours (Core time: 09:00 - 15:00 GMT).
• Generous time-off infrastructure including 20 paid vacation days, 12 annual paid holidays, and 3 dedicated sick leave provisions.
• Comprehensive company allowances including hardware and equipment reimbursement protocols alongside dedicated medical insurance infrastructure following the probation timeline.