Strategic Data & Analytics Engineer – Cloud Data, Agentic Infrastructure

🔥 15 hours ago

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

💵 $120k - $140k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 0%

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Shift Paradigm

WebsiteLinkedInAll Job Openings

201 - 500 employees

💼 Consulting

📣 Marketing

🤖 Artificial Intelligence

💰 Debt financing on 2023-01

Consulting • Marketing • Artificial Intelligence

Shift Paradigm is a digital growth consultancy and experience design agency that helps businesses connect external audiences and optimize internal operations. They provide digital product design and engineering, CX and UX strategy, MarTech and revenue operations (CRM, CDP, data orchestration), email and campaign marketing (segmentation, personalization, SMS/in-app), and operationalize AI through integrations and custom development. The firm serves clients across healthcare and med tech, manufacturing, financial services, B2B SaaS, technology, and restaurant & hospitality, positioning itself as a tech-enabled, AI-infused partner focused on driving measurable growth.

📋 Description

• Partner with business stakeholders to uncover business goals and translate domain needs into unified data engineering solutions, semantic layers, and warehouse architectures • Architect context layers and semantic models for AI/LLM-driven engines and autonomous agents • Design scalable taxonomy and metadata data models using architectures such as Medallion/Multi-layer • Build and maintain deterministic and probabilistic identity resolution models and graph-like bridge tables • Lead integration of complex cross-system datasets • Develop high-performance ingestion and transformation pipelines unifying marketing metadata, CDP activation models, DAM content, and real-time telemetry • Implement enterprise data governance, business glossaries, access controls, and data cataloging • Enable secure self-service analytics and reliable AI execution • Partner directly with clients to understand strategic goals and translate requirements into scalable, warehouse-native infrastructure

🎯 Requirements

• 5+ years of hands-on experience in data engineering, analytics engineering, or data architecture building production-grade data pipelines and semantic models • 2+ years in a client-facing, consultative, or strategic lead role • Ability to run discovery, map business goals to technical architectures, and present solutions to cross-functional stakeholders • Ability to translate non-technical business strategies into clear technical specifications and articulate technical trade-offs • Understanding of agentic AI concepts and how data modeling, semantics, and context layers support autonomous workflows • Hands-on experience designing production pipelines and semantic data models across modern cloud data platforms • Deep expertise in Databricks, Snowflake, or equivalent architectures • Proficiency in SQL, Python/PySpark, data pipeline orchestration, and modern data stack tooling such as dbt • Experience with MarTech, CDPs, reverse ETL tools such as Hightouch or Census, and enterprise platforms such as Salesforce Marketing Cloud and CRMs • Proven experience in multi-dimensional schema design, identity resolution modeling, graph/hierarchical structures, and API payload parsing (nested JSON/REST) • Databricks, Snowflake, or dbt certifications preferred • Ability to manage complex deliverables independently in a distributed, fast-paced environment • Current US or Canada work authorization required • No relocation assistance available

🏖️ Benefits

• Competitive compensation aligned with your experience and impact • Remote flexibility • Collaborative culture that values diverse perspectives and innovative thinking • Medical insurance • Dental insurance • Vision insurance • STD/LTD • Life/AD&D • Flexible Paid Time Off • Various other ancillary benefits and perks • Accessibility accommodations available on request