Marketing Data Analytics Engineer building Salesforce, Marketo, and warehouse pipelines for PointClickCare’s healthcare analytics platform. Automating campaign reporting and supporting marketing - sourced pipeline insights.
SP
Strategic Data & Analytics Engineer – Cloud Data, Agentic Infrastructure
Posted last month
About the role
- Data and analytics engineer building semantic models, pipelines, and AI-ready infrastructure. Supporting SH/FT’s consultancy work for enterprise marketing and technology clients.
Responsibilities
- 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
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