Strategic Data & Analytics Engineer – Cloud Data, Agentic Infrastructure

This is a fully remote position, open to applicants in United States, +1 more country.

📋 Description

• Collaborate with business stakeholders to identify business objectives and convert domain requirements into integrated data engineering solutions, semantic layers, and warehouse architectures.

• Design context layers and semantic models for AI/LLM-driven engines and autonomous agents.

• Create scalable taxonomy and metadata data models utilizing architectures such as Medallion/Multi-layer.

• Construct and sustain deterministic and probabilistic identity resolution models along with graph-like bridge tables.

• Oversee the integration of complex datasets across systems.

• Develop high-performance ingestion and transformation pipelines that unify marketing metadata, CDP activation models, DAM content, and real-time telemetry.

• Execute enterprise data governance, business glossaries, access controls, and data cataloging.

• Facilitate secure self-service analytics and dependable AI execution.

• Work directly with clients to comprehend strategic objectives and convert requirements into scalable, warehouse-native infrastructure.

⛳️ Requirements

• Over 5 years of practical experience in data engineering, analytics engineering, or data architecture, focusing on building production-grade data pipelines and semantic models.

• At least 2 years in a client-facing, consultative, or strategic leadership role.

• Capability to conduct discovery sessions, map business objectives to technical architectures, and present solutions to cross-functional stakeholders.

• Proficiency in converting non-technical business strategies into clear technical specifications and explaining technical trade-offs.

• Knowledge of agentic AI concepts and how data modeling, semantics, and context layers facilitate autonomous workflows.

• Practical experience in designing production pipelines and semantic data models across contemporary cloud data platforms.

• Extensive expertise in Databricks, Snowflake, or comparable architectures.

• Skilled in SQL, Python/PySpark, data pipeline orchestration, and modern data stack tools such as dbt.

• Familiarity with MarTech, CDPs, reverse ETL tools like Hightouch or Census, and enterprise platforms such as Salesforce Marketing Cloud and CRMs.

• Demonstrated experience in multi-dimensional schema design, identity resolution modeling, graph/hierarchical structures, and API payload parsing (nested JSON/REST).

• Certifications in Databricks, Snowflake, or dbt are preferred.

• Ability to independently manage complex deliverables in a distributed, fast-paced environment.

• Current work authorization in the US or Canada is required.

• No relocation assistance is available.

🏝️ Benefits

• Competitive compensation commensurate with your experience and contributions.

• Flexibility for remote work.

• A collaborative culture that appreciates diverse perspectives and innovative ideas.

• Medical insurance.

• Dental insurance.

• Vision insurance.

• Short-term and long-term disability insurance.

• Life insurance and Accidental Death & Dismemberment (AD&D) coverage.

• Flexible Paid Time Off.

• A variety of additional ancillary benefits and perks.

• Accessibility accommodations available upon request.